Index (AWS Java SDK for Amazon Machine Learning 1.11.129 API)

A B C D E F G H I L M P R S T U V W

A

AbstractAmazonMachineLearning - Class in com.amazonaws.services.machinelearning: Abstract implementation of AmazonMachineLearning.
AbstractAmazonMachineLearning() - Constructor for class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
AbstractAmazonMachineLearningAsync - Class in com.amazonaws.services.machinelearning: Abstract implementation of AmazonMachineLearningAsync.
AbstractAmazonMachineLearningAsync() - Constructor for class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
addDetailsEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.Prediction
addParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest
addPredictedScoresEntry(String, Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction
addPropertiesEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
addRecordEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
addTags(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
addTags(AddTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Adds one or more tags to an object, up to a limit of 10.
addTags(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Adds one or more tags to an object, up to a limit of 10.
addTagsAsync(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
addTagsAsync(AddTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Adds one or more tags to an object, up to a limit of 10.
addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Adds one or more tags to an object, up to a limit of 10.
addTagsAsync(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
AddTagsRequest - Class in com.amazonaws.services.machinelearning.model
AddTagsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.AddTagsRequest
AddTagsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: AddTagsRequestMarshaller
AddTagsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.AddTagsRequestMarshaller
AddTagsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: AddTagsRequest Marshaller
AddTagsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.AddTagsRequestProtocolMarshaller
AddTagsResult - Class in com.amazonaws.services.machinelearning.model: Amazon ML returns the following elements.
AddTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.AddTagsResult
AddTagsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: AddTagsResult JSON Unmarshaller
AddTagsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.AddTagsResultJsonUnmarshaller
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.MLModel
afterError(Request<?>, Response<?>, Exception) - Method in class com.amazonaws.services.machinelearning.internal.PredictEndpointHandler
afterError(Request<?>, Response<?>, Exception) - Method in class com.amazonaws.services.machinelearning.internal.RandomIdHandler
afterResponse(Request<?>, Response<?>) - Method in class com.amazonaws.services.machinelearning.internal.PredictEndpointHandler
afterResponse(Request<?>, Response<?>) - Method in class com.amazonaws.services.machinelearning.internal.RandomIdHandler
Algorithm - Enum in com.amazonaws.services.machinelearning.model: The function used to train an MLModel.
AmazonMachineLearning - Interface in com.amazonaws.services.machinelearning: Interface for accessing Amazon Machine Learning.
AmazonMachineLearningAsync - Interface in com.amazonaws.services.machinelearning: Interface for accessing Amazon Machine Learning asynchronously.
AmazonMachineLearningAsyncClient - Class in com.amazonaws.services.machinelearning: Client for accessing Amazon Machine Learning asynchronously.
AmazonMachineLearningAsyncClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AmazonMachineLearningAsyncClientBuilder.defaultClient()
AmazonMachineLearningAsyncClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withClientConfiguration(ClientConfiguration)
AmazonMachineLearningAsyncClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider)
AmazonMachineLearningAsyncClient(AWSCredentials, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)
AmazonMachineLearningAsyncClient(AWSCredentials, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration) and AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)
AmazonMachineLearningAsyncClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider)
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration)
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration) and AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)
AmazonMachineLearningAsyncClientBuilder - Class in com.amazonaws.services.machinelearning: Fluent builder for AmazonMachineLearningAsync.
AmazonMachineLearningClient - Class in com.amazonaws.services.machinelearning: Client for accessing Amazon Machine Learning.
AmazonMachineLearningClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AmazonMachineLearningClientBuilder.defaultClient()
AmazonMachineLearningClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withClientConfiguration(ClientConfiguration)
AmazonMachineLearningClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) for example: AmazonMachineLearningClientBuilder.standard().withCredentials(new AWSStaticCredentialsProvider(awsCredentials)).build();
AmazonMachineLearningClient(AWSCredentials, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration)
AmazonMachineLearningClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider)
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration)
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration, RequestMetricCollector) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
use AwsClientBuilder.withCredentials(AWSCredentialsProvider) and AwsClientBuilder.withClientConfiguration(ClientConfiguration) and AwsClientBuilder.withMetricsCollector(RequestMetricCollector)
AmazonMachineLearningClientBuilder - Class in com.amazonaws.services.machinelearning: Fluent builder for AmazonMachineLearning.
AmazonMachineLearningException - Exception in com.amazonaws.services.machinelearning.model: Base exception for all service exceptions thrown by Amazon Machine Learning
AmazonMachineLearningException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.AmazonMachineLearningException: Constructs a new AmazonMachineLearningException with the specified error message.
AmazonMachineLearningWaiters - Class in com.amazonaws.services.machinelearning.waiters
AmazonMachineLearningWaiters(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters: Constructs a new AmazonMachineLearningWaiters with the given client
apply(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeBatchPredictionsFunction: Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result
apply(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeDataSourcesFunction: Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result
apply(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeEvaluationsFunction: Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result
apply(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeMLModelsFunction: Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result
asyncBuilder() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

B

BatchPrediction - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetBatchPrediction operation.
BatchPrediction() - Constructor for class com.amazonaws.services.machinelearning.model.BatchPrediction
batchPredictionAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters: Builds a BatchPredictionAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
BatchPredictionFilterVariable - Enum in com.amazonaws.services.machinelearning.model: A list of the variables to use in searching or filtering BatchPrediction.
BatchPredictionJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: BatchPrediction JSON Unmarshaller
BatchPredictionJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.BatchPredictionJsonUnmarshaller
BatchPredictionMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: BatchPredictionMarshaller
BatchPredictionMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.BatchPredictionMarshaller
beforeMarshalling(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.internal.RandomIdHandler
beforeRequest(Request<?>) - Method in class com.amazonaws.services.machinelearning.internal.PredictEndpointHandler
beforeRequest(Request<?>) - Method in class com.amazonaws.services.machinelearning.internal.RandomIdHandler
build(AwsAsyncClientParams) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder: Construct an asynchronous implementation of AmazonMachineLearningAsync using the current builder configuration.
build(AwsSyncClientParams) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder: Construct a synchronous implementation of AmazonMachineLearning using the current builder configuration.
builder() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

C

clearDetailsEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Removes all the entries added into Details.
clearParametersEntries() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: Removes all the entries added into Parameters.
clearPredictedScoresEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Removes all the entries added into PredictedScores.
clearPropertiesEntries() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics: Removes all the entries added into Properties.
clearRecordEntries() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Removes all the entries added into Record.
clearTrainingParametersEntries() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Removes all the entries added into TrainingParameters.
clearTrainingParametersEntries() - Method in class com.amazonaws.services.machinelearning.model.MLModel: Removes all the entries added into TrainingParameters.
clone() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DataSource
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult
clone() - Method in class com.amazonaws.services.machinelearning.model.Evaluation
clone() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult
clone() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
clone() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult
clone() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
clone() - Method in class com.amazonaws.services.machinelearning.model.MLModel
clone() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
clone() - Method in class com.amazonaws.services.machinelearning.model.Prediction
clone() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.PredictResult
clone() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
clone() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
clone() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec
clone() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
clone() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec
clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
clone() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec
clone() - Method in class com.amazonaws.services.machinelearning.model.Tag
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest
clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult
com.amazonaws.services.machinelearning - package com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.internal - package com.amazonaws.services.machinelearning.internal
com.amazonaws.services.machinelearning.model - package com.amazonaws.services.machinelearning.model
com.amazonaws.services.machinelearning.model.transform - package com.amazonaws.services.machinelearning.model.transform
com.amazonaws.services.machinelearning.waiters - package com.amazonaws.services.machinelearning.waiters
configFactory - Static variable in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Client configuration factory providing ClientConfigurations tailored to this client
createBatchPrediction(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createBatchPrediction(CreateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Generates predictions for a group of observations.
createBatchPrediction(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Generates predictions for a group of observations.
createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates predictions for a group of observations.
createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates predictions for a group of observations.
createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model
CreateBatchPredictionRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest
CreateBatchPredictionRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateBatchPredictionRequestMarshaller
CreateBatchPredictionRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionRequestMarshaller
CreateBatchPredictionRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateBatchPredictionRequest Marshaller
CreateBatchPredictionRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionRequestProtocolMarshaller
CreateBatchPredictionResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateBatchPrediction operation, and is an acknowledgement that Amazon ML received the request.
CreateBatchPredictionResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult
CreateBatchPredictionResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateBatchPredictionResult JSON Unmarshaller
CreateBatchPredictionResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionResultJsonUnmarshaller
createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateDataSourceFromRDSRequest - Class in com.amazonaws.services.machinelearning.model
CreateDataSourceFromRDSRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest
CreateDataSourceFromRDSRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRDSRequestMarshaller
CreateDataSourceFromRDSRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSRequestMarshaller
CreateDataSourceFromRDSRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRDSRequest Marshaller
CreateDataSourceFromRDSRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSRequestProtocolMarshaller
CreateDataSourceFromRDSResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromRDSResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult
CreateDataSourceFromRDSResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRDSResult JSON Unmarshaller
CreateDataSourceFromRDSResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSResultJsonUnmarshaller
createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a DataSource from a database hosted on an Amazon Redshift cluster.
createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a DataSource from a database hosted on an Amazon Redshift cluster.
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest, CreateDataSourceFromRedshiftResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource from a database hosted on an Amazon Redshift cluster.
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest, CreateDataSourceFromRedshiftResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource from a database hosted on an Amazon Redshift cluster.
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest, CreateDataSourceFromRedshiftResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateDataSourceFromRedshiftRequest - Class in com.amazonaws.services.machinelearning.model
CreateDataSourceFromRedshiftRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest
CreateDataSourceFromRedshiftRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRedshiftRequestMarshaller
CreateDataSourceFromRedshiftRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftRequestMarshaller
CreateDataSourceFromRedshiftRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRedshiftRequest Marshaller
CreateDataSourceFromRedshiftRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftRequestProtocolMarshaller
CreateDataSourceFromRedshiftResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromRedshiftResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult
CreateDataSourceFromRedshiftResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromRedshiftResult JSON Unmarshaller
CreateDataSourceFromRedshiftResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftResultJsonUnmarshaller
createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a DataSource object.
createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a DataSource object.
createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource object.
createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a DataSource object.
createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateDataSourceFromS3Request - Class in com.amazonaws.services.machinelearning.model
CreateDataSourceFromS3Request() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request
CreateDataSourceFromS3RequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromS3RequestMarshaller
CreateDataSourceFromS3RequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3RequestMarshaller
CreateDataSourceFromS3RequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromS3Request Marshaller
CreateDataSourceFromS3RequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3RequestProtocolMarshaller
CreateDataSourceFromS3Result - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromS3Result() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result
CreateDataSourceFromS3ResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateDataSourceFromS3Result JSON Unmarshaller
CreateDataSourceFromS3ResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3ResultJsonUnmarshaller
createEvaluation(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createEvaluation(CreateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a new Evaluation of an MLModel.
createEvaluation(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a new Evaluation of an MLModel.
createEvaluationAsync(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createEvaluationAsync(CreateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a new Evaluation of an MLModel.
createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a new Evaluation of an MLModel.
createEvaluationAsync(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateEvaluationRequest - Class in com.amazonaws.services.machinelearning.model
CreateEvaluationRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
CreateEvaluationRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateEvaluationRequestMarshaller
CreateEvaluationRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationRequestMarshaller
CreateEvaluationRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateEvaluationRequest Marshaller
CreateEvaluationRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationRequestProtocolMarshaller
CreateEvaluationResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request.
CreateEvaluationResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateEvaluationResult
CreateEvaluationResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateEvaluationResult JSON Unmarshaller
CreateEvaluationResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationResultJsonUnmarshaller
createMLModel(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createMLModel(CreateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a new MLModel using the DataSource and the recipe as information sources.
createMLModel(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a new MLModel using the DataSource and the recipe as information sources.
createMLModelAsync(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createMLModelAsync(CreateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a new MLModel using the DataSource and the recipe as information sources.
createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a new MLModel using the DataSource and the recipe as information sources.
createMLModelAsync(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateMLModelRequest - Class in com.amazonaws.services.machinelearning.model
CreateMLModelRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateMLModelRequest
CreateMLModelRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateMLModelRequestMarshaller
CreateMLModelRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateMLModelRequestMarshaller
CreateMLModelRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateMLModelRequest Marshaller
CreateMLModelRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateMLModelRequestProtocolMarshaller
CreateMLModelResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request.
CreateMLModelResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateMLModelResult
CreateMLModelResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateMLModelResult JSON Unmarshaller
CreateMLModelResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateMLModelResultJsonUnmarshaller
createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Creates a real-time endpoint for the MLModel.
createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Creates a real-time endpoint for the MLModel.
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a real-time endpoint for the MLModel.
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Creates a real-time endpoint for the MLModel.
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
CreateRealtimeEndpointRequest - Class in com.amazonaws.services.machinelearning.model
CreateRealtimeEndpointRequest() - Constructor for class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest
CreateRealtimeEndpointRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateRealtimeEndpointRequestMarshaller
CreateRealtimeEndpointRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointRequestMarshaller
CreateRealtimeEndpointRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateRealtimeEndpointRequest Marshaller
CreateRealtimeEndpointRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointRequestProtocolMarshaller
CreateRealtimeEndpointResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an CreateRealtimeEndpoint operation.
CreateRealtimeEndpointResult() - Constructor for class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult
CreateRealtimeEndpointResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: CreateRealtimeEndpointResult JSON Unmarshaller
CreateRealtimeEndpointResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointResultJsonUnmarshaller

D

DataSource - Class in com.amazonaws.services.machinelearning.model: Represents the output of the GetDataSource operation.
DataSource() - Constructor for class com.amazonaws.services.machinelearning.model.DataSource
dataSourceAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters: Builds a DataSourceAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
DataSourceFilterVariable - Enum in com.amazonaws.services.machinelearning.model: A list of the variables to use in searching or filtering DataSource.
DataSourceJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DataSource JSON Unmarshaller
DataSourceJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DataSourceJsonUnmarshaller
DataSourceMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DataSourceMarshaller
DataSourceMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DataSourceMarshaller
defaultClient() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder
defaultClient() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder
deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Assigns the DELETED status to a BatchPrediction, rendering it unusable.
deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Assigns the DELETED status to a BatchPrediction, rendering it unusable.
deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to a BatchPrediction, rendering it unusable.
deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to a BatchPrediction, rendering it unusable.
deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model
DeleteBatchPredictionRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest
DeleteBatchPredictionRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteBatchPredictionRequestMarshaller
DeleteBatchPredictionRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionRequestMarshaller
DeleteBatchPredictionRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteBatchPredictionRequest Marshaller
DeleteBatchPredictionRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionRequestProtocolMarshaller
DeleteBatchPredictionResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DeleteBatchPrediction operation.
DeleteBatchPredictionResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult
DeleteBatchPredictionResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteBatchPredictionResult JSON Unmarshaller
DeleteBatchPredictionResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionResultJsonUnmarshaller
deleteDataSource(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteDataSource(DeleteDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Assigns the DELETED status to a DataSource, rendering it unusable.
deleteDataSource(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Assigns the DELETED status to a DataSource, rendering it unusable.
deleteDataSourceAsync(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteDataSourceAsync(DeleteDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to a DataSource, rendering it unusable.
deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to a DataSource, rendering it unusable.
deleteDataSourceAsync(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteDataSourceRequest - Class in com.amazonaws.services.machinelearning.model
DeleteDataSourceRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest
DeleteDataSourceRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteDataSourceRequestMarshaller
DeleteDataSourceRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceRequestMarshaller
DeleteDataSourceRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteDataSourceRequest Marshaller
DeleteDataSourceRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceRequestProtocolMarshaller
DeleteDataSourceResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DeleteDataSource operation.
DeleteDataSourceResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult
DeleteDataSourceResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteDataSourceResult JSON Unmarshaller
DeleteDataSourceResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceResultJsonUnmarshaller
deleteEvaluation(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteEvaluation(DeleteEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Assigns the DELETED status to an Evaluation, rendering it unusable.
deleteEvaluation(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Assigns the DELETED status to an Evaluation, rendering it unusable.
deleteEvaluationAsync(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteEvaluationAsync(DeleteEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to an Evaluation, rendering it unusable.
deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to an Evaluation, rendering it unusable.
deleteEvaluationAsync(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteEvaluationRequest - Class in com.amazonaws.services.machinelearning.model
DeleteEvaluationRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest
DeleteEvaluationRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteEvaluationRequestMarshaller
DeleteEvaluationRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationRequestMarshaller
DeleteEvaluationRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteEvaluationRequest Marshaller
DeleteEvaluationRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationRequestProtocolMarshaller
DeleteEvaluationResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DeleteEvaluation operation.
DeleteEvaluationResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult
DeleteEvaluationResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteEvaluationResult JSON Unmarshaller
DeleteEvaluationResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationResultJsonUnmarshaller
deleteMLModel(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteMLModel(DeleteMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Assigns the DELETED status to an MLModel, rendering it unusable.
deleteMLModel(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Assigns the DELETED status to an MLModel, rendering it unusable.
deleteMLModelAsync(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteMLModelAsync(DeleteMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to an MLModel, rendering it unusable.
deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Assigns the DELETED status to an MLModel, rendering it unusable.
deleteMLModelAsync(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteMLModelRequest - Class in com.amazonaws.services.machinelearning.model
DeleteMLModelRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest
DeleteMLModelRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteMLModelRequestMarshaller
DeleteMLModelRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelRequestMarshaller
DeleteMLModelRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteMLModelRequest Marshaller
DeleteMLModelRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelRequestProtocolMarshaller
DeleteMLModelResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DeleteMLModel operation.
DeleteMLModelResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteMLModelResult
DeleteMLModelResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteMLModelResult JSON Unmarshaller
DeleteMLModelResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelResultJsonUnmarshaller
deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Deletes a real time endpoint of an MLModel.
deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deletes a real time endpoint of an MLModel.
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Deletes a real time endpoint of an MLModel.
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Deletes a real time endpoint of an MLModel.
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteRealtimeEndpointRequest - Class in com.amazonaws.services.machinelearning.model
DeleteRealtimeEndpointRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest
DeleteRealtimeEndpointRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteRealtimeEndpointRequestMarshaller
DeleteRealtimeEndpointRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointRequestMarshaller
DeleteRealtimeEndpointRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteRealtimeEndpointRequest Marshaller
DeleteRealtimeEndpointRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointRequestProtocolMarshaller
DeleteRealtimeEndpointResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an DeleteRealtimeEndpoint operation.
DeleteRealtimeEndpointResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult
DeleteRealtimeEndpointResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteRealtimeEndpointResult JSON Unmarshaller
DeleteRealtimeEndpointResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointResultJsonUnmarshaller
deleteTags(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
deleteTags(DeleteTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Deletes the specified tags associated with an ML object.
deleteTags(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deletes the specified tags associated with an ML object.
deleteTagsAsync(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
deleteTagsAsync(DeleteTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Deletes the specified tags associated with an ML object.
deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Deletes the specified tags associated with an ML object.
deleteTagsAsync(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DeleteTagsRequest - Class in com.amazonaws.services.machinelearning.model
DeleteTagsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteTagsRequest
DeleteTagsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteTagsRequestMarshaller
DeleteTagsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteTagsRequestMarshaller
DeleteTagsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteTagsRequest Marshaller
DeleteTagsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteTagsRequestProtocolMarshaller
DeleteTagsResult - Class in com.amazonaws.services.machinelearning.model: Amazon ML returns the following elements.
DeleteTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteTagsResult
DeleteTagsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DeleteTagsResult JSON Unmarshaller
DeleteTagsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DeleteTagsResultJsonUnmarshaller
describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeBatchPredictions() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a list of BatchPrediction operations that match the search criteria in the request.
describeBatchPredictions() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Simplified method form for invoking the DescribeBatchPredictions operation.
describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a list of BatchPrediction operations that match the search criteria in the request.
describeBatchPredictions() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeBatchPredictionsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeBatchPredictions operation.
describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of BatchPrediction operations that match the search criteria in the request.
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of BatchPrediction operations that match the search criteria in the request.
describeBatchPredictionsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeBatchPredictions operation.
describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeBatchPredictionsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeBatchPredictions operation.
describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.
DescribeBatchPredictionsFunction - Class in com.amazonaws.services.machinelearning.waiters
DescribeBatchPredictionsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeBatchPredictionsFunction: Constructs a new DescribeBatchPredictionsFunction with the given client
DescribeBatchPredictionsRequest - Class in com.amazonaws.services.machinelearning.model
DescribeBatchPredictionsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
DescribeBatchPredictionsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeBatchPredictionsRequestMarshaller
DescribeBatchPredictionsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsRequestMarshaller
DescribeBatchPredictionsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeBatchPredictionsRequest Marshaller
DescribeBatchPredictionsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsRequestProtocolMarshaller
DescribeBatchPredictionsResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DescribeBatchPredictions operation.
DescribeBatchPredictionsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult
DescribeBatchPredictionsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeBatchPredictionsResult JSON Unmarshaller
DescribeBatchPredictionsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsResultJsonUnmarshaller
describeDataSources(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeDataSources() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeDataSources(DescribeDataSourcesRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a list of DataSource that match the search criteria in the request.
describeDataSources() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Simplified method form for invoking the DescribeDataSources operation.
describeDataSources(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a list of DataSource that match the search criteria in the request.
describeDataSources() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeDataSourcesAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeDataSources operation.
describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of DataSource that match the search criteria in the request.
describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of DataSource that match the search criteria in the request.
describeDataSourcesAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeDataSources operation.
describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeDataSourcesAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeDataSources operation.
describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
DescribeDataSourcesFunction - Class in com.amazonaws.services.machinelearning.waiters
DescribeDataSourcesFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeDataSourcesFunction: Constructs a new DescribeDataSourcesFunction with the given client
DescribeDataSourcesRequest - Class in com.amazonaws.services.machinelearning.model
DescribeDataSourcesRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest
DescribeDataSourcesRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeDataSourcesRequestMarshaller
DescribeDataSourcesRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesRequestMarshaller
DescribeDataSourcesRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeDataSourcesRequest Marshaller
DescribeDataSourcesRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesRequestProtocolMarshaller
DescribeDataSourcesResult - Class in com.amazonaws.services.machinelearning.model: Represents the query results from a DescribeDataSources operation.
DescribeDataSourcesResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult
DescribeDataSourcesResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeDataSourcesResult JSON Unmarshaller
DescribeDataSourcesResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesResultJsonUnmarshaller
describeEvaluations(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeEvaluations() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeEvaluations(DescribeEvaluationsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a list of DescribeEvaluations that match the search criteria in the request.
describeEvaluations() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Simplified method form for invoking the DescribeEvaluations operation.
describeEvaluations(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a list of DescribeEvaluations that match the search criteria in the request.
describeEvaluations() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeEvaluationsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeEvaluations operation.
describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.
describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of DescribeEvaluations that match the search criteria in the request.
describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of DescribeEvaluations that match the search criteria in the request.
describeEvaluationsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeEvaluations operation.
describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.
describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeEvaluationsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeEvaluations operation.
describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.
DescribeEvaluationsFunction - Class in com.amazonaws.services.machinelearning.waiters
DescribeEvaluationsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeEvaluationsFunction: Constructs a new DescribeEvaluationsFunction with the given client
DescribeEvaluationsRequest - Class in com.amazonaws.services.machinelearning.model
DescribeEvaluationsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest
DescribeEvaluationsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeEvaluationsRequestMarshaller
DescribeEvaluationsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsRequestMarshaller
DescribeEvaluationsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeEvaluationsRequest Marshaller
DescribeEvaluationsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsRequestProtocolMarshaller
DescribeEvaluationsResult - Class in com.amazonaws.services.machinelearning.model: Represents the query results from a DescribeEvaluations operation.
DescribeEvaluationsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult
DescribeEvaluationsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeEvaluationsResult JSON Unmarshaller
DescribeEvaluationsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsResultJsonUnmarshaller
describeMLModels(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeMLModels() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeMLModels(DescribeMLModelsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a list of MLModel that match the search criteria in the request.
describeMLModels() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Simplified method form for invoking the DescribeMLModels operation.
describeMLModels(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a list of MLModel that match the search criteria in the request.
describeMLModels() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
describeMLModelsAsync(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeMLModelsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeMLModels operation.
describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync: Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
describeMLModelsAsync(DescribeMLModelsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of MLModel that match the search criteria in the request.
describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a list of MLModel that match the search criteria in the request.
describeMLModelsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeMLModels operation.
describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
describeMLModelsAsync(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeMLModelsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeMLModels operation.
describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.
DescribeMLModelsFunction - Class in com.amazonaws.services.machinelearning.waiters
DescribeMLModelsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeMLModelsFunction: Constructs a new DescribeMLModelsFunction with the given client
DescribeMLModelsRequest - Class in com.amazonaws.services.machinelearning.model
DescribeMLModelsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest
DescribeMLModelsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeMLModelsRequestMarshaller
DescribeMLModelsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsRequestMarshaller
DescribeMLModelsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeMLModelsRequest Marshaller
DescribeMLModelsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsRequestProtocolMarshaller
DescribeMLModelsResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a DescribeMLModels operation.
DescribeMLModelsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult
DescribeMLModelsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeMLModelsResult JSON Unmarshaller
DescribeMLModelsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsResultJsonUnmarshaller
describeTags(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
describeTags(DescribeTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Describes one or more of the tags for your Amazon ML object.
describeTags(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Describes one or more of the tags for your Amazon ML object.
describeTagsAsync(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
describeTagsAsync(DescribeTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Describes one or more of the tags for your Amazon ML object.
describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Describes one or more of the tags for your Amazon ML object.
describeTagsAsync(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
DescribeTagsRequest - Class in com.amazonaws.services.machinelearning.model
DescribeTagsRequest() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeTagsRequest
DescribeTagsRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeTagsRequestMarshaller
DescribeTagsRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeTagsRequestMarshaller
DescribeTagsRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeTagsRequest Marshaller
DescribeTagsRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeTagsRequestProtocolMarshaller
DescribeTagsResult - Class in com.amazonaws.services.machinelearning.model: Amazon ML returns the following elements.
DescribeTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeTagsResult
DescribeTagsResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: DescribeTagsResult JSON Unmarshaller
DescribeTagsResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.DescribeTagsResultJsonUnmarshaller
DetailsAttributes - Enum in com.amazonaws.services.machinelearning.model: Contains the key values of DetailsMap: PredictiveModelType - Indicates the type of the MLModel.

E

ENDPOINT_PREFIX - Static variable in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: The region metadata service name for computing region endpoints.
EntityStatus - Enum in com.amazonaws.services.machinelearning.model: Object status with the following possible values:
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DataSource
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.MLModel
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Prediction
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Tag
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult
Evaluation - Class in com.amazonaws.services.machinelearning.model: Represents the output of GetEvaluation operation.
Evaluation() - Constructor for class com.amazonaws.services.machinelearning.model.Evaluation
evaluationAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters: Builds a EvaluationAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
EvaluationFilterVariable - Enum in com.amazonaws.services.machinelearning.model: A list of the variables to use in searching or filtering Evaluation.
EvaluationJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: Evaluation JSON Unmarshaller
EvaluationJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.EvaluationJsonUnmarshaller
EvaluationMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: EvaluationMarshaller
EvaluationMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.EvaluationMarshaller

F

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType: Use this in place of valueOf.

G

getAlgorithm() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The algorithm used to train the MLModel.
getBatchPrediction(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
getBatchPrediction(GetBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
getBatchPrediction(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
getBatchPredictionAsync(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getBatchPredictionAsync(GetBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
getBatchPredictionAsync(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the DataSource that points to the group of observations to predict.
getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the DataSource that points to the group of observations to predict.
getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the DataSource that was used to create the BatchPrediction.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID assigned to the BatchPrediction at creation.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest: An ID assigned to the BatchPrediction at creation.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: An ID assigned to the BatchPrediction at creation.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: The ID assigned to the BatchPrediction during creation.
getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult: The ID assigned to the BatchPrediction during creation.
getBatchPredictionName() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied name or description of the BatchPrediction.
getBatchPredictionName() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: A new user-supplied name or description of the BatchPrediction.
GetBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model
GetBatchPredictionRequest() - Constructor for class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest
GetBatchPredictionRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetBatchPredictionRequestMarshaller
GetBatchPredictionRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionRequestMarshaller
GetBatchPredictionRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetBatchPredictionRequest Marshaller
GetBatchPredictionRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionRequestProtocolMarshaller
GetBatchPredictionResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetBatchPrediction operation and describes a BatchPrediction.
GetBatchPredictionResult() - Constructor for class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult
GetBatchPredictionResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetBatchPredictionResult JSON Unmarshaller
GetBatchPredictionResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionResultJsonUnmarshaller
getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
getCachedResponseMetadata(AmazonWebServiceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected.
getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns additional metadata for a previously executed successful, request, typically used for debugging issues where a service isn't acting as expected.
getClusterIdentifier() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
getCode() - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException
getCode() - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException
getCode() - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException
getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The compute statistics for a DataSource.
getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The compute statistics for a DataSource.
getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The compute statistics for a DataSource.
getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The parameter is true if statistics need to be generated from the observation data.
getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The parameter is true if statistics need to be generated from the observation data.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.Evaluation
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.MLModel
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time that the BatchPrediction was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time that the DataSource was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time that the Evaluation was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time when the BatchPrediction was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time that the DataSource was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time that the Evaluation was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time that the MLModel was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The AWS user account that invoked the BatchPrediction.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The AWS user account from which the DataSource was created.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The AWS user account that invoked the evaluation.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The AWS user account that invoked the BatchPrediction.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The AWS user account from which the DataSource was created.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The AWS user account that invoked the evaluation.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The AWS user account from which the MLModel was created.
getDatabase() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The database details required to connect to an Amazon RDS.
getDatabaseCredentials() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.
getDatabaseCredentials() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.
getDatabaseInformation() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.
getDatabaseInformation() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.
getDatabaseName() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
getDatabaseName() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
getDatabaseUserName() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
getDatabaseUserName() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: The location of the data file(s) used by a DataSource.
getDataPipelineId() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.
getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.DataSource: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
getDataSchema() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the schema for an Amazon RDS DataSource.
getDataSchema() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the schema for an Amazon Redshift DataSource.
getDataSchema() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the schema for an Amazon S3 DataSource.
getDataSchemaLocationS3() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes the schema location in Amazon S3.
getDataSchemaUri() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location of the DataSchema.
getDataSchemaUri() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema location for an Amazon Redshift DataSource.
getDataSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The total number of observations contained in the data files that the DataSource references.
getDataSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The total size of observations in the data files.
getDataSource(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
getDataSource(GetDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.
getDataSource(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.
getDataSourceAsync(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getDataSourceAsync(GetDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.
getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.
getDataSourceAsync(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied ID that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult: A user-supplied ID that uniquely identifies the datasource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied ID that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult: A user-supplied ID that uniquely identifies the datasource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied identifier that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result: A user-supplied ID that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The ID that is assigned to the DataSource during creation.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest: A user-supplied ID that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult: A user-supplied ID that uniquely identifies the DataSource.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: The ID assigned to the DataSource at creation.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The ID assigned to the DataSource at creation.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: The ID assigned to the DataSource during creation.
getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult: The ID assigned to the DataSource during creation.
getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied name or description of the DataSource.
getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied name or description of the DataSource.
getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied name or description of the DataSource.
getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: A new user-supplied name or description of the DataSource that will replace the current description.
GetDataSourceRequest - Class in com.amazonaws.services.machinelearning.model
GetDataSourceRequest() - Constructor for class com.amazonaws.services.machinelearning.model.GetDataSourceRequest
GetDataSourceRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetDataSourceRequestMarshaller
GetDataSourceRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetDataSourceRequestMarshaller
GetDataSourceRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetDataSourceRequest Marshaller
GetDataSourceRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetDataSourceRequestProtocolMarshaller
GetDataSourceResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetDataSource operation and describes a DataSource.
GetDataSourceResult() - Constructor for class com.amazonaws.services.machinelearning.model.GetDataSourceResult
GetDataSourceResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetDataSourceResult JSON Unmarshaller
GetDataSourceResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetDataSourceResultJsonUnmarshaller
getDataSourceSchema() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The schema used by all of the data files of this DataSource.
getDataSpec() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The data specification of an Amazon Redshift DataSource:
getDataSpec() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The data specification of a DataSource:
getDetails() - Method in class com.amazonaws.services.machinelearning.model.Prediction
getEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
getEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current endpoint of the MLModel.
getEndpointStatus() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel.
getEndpointUrl() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
getEQ() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The equal to operator.
getEQ() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The equal to operator.
getEQ() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The equal to operator.
getEQ() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The equal to operator.
getEvaluation(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
getEvaluation(GetEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
getEvaluation(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
getEvaluationAsync(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getEvaluationAsync(GetEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
getEvaluationAsync(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the DataSource for the evaluation.
getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the DataSource that is used to evaluate the MLModel.
getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The DataSource used for this evaluation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult: The user-supplied ID that uniquely identifies the Evaluation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation to delete.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult: A user-supplied ID that uniquely identifies the Evaluation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID that is assigned to the Evaluation at creation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest: The ID of the Evaluation to retrieve.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The evaluation ID which is same as the EvaluationId in the request.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: The ID assigned to the Evaluation during creation.
getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult: The ID assigned to the Evaluation during creation.
getEvaluationName() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied name or description of the Evaluation.
getEvaluationName() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: A new user-supplied name or description of the Evaluation that will replace the current content.
GetEvaluationRequest - Class in com.amazonaws.services.machinelearning.model
GetEvaluationRequest() - Constructor for class com.amazonaws.services.machinelearning.model.GetEvaluationRequest
GetEvaluationRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetEvaluationRequestMarshaller
GetEvaluationRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetEvaluationRequestMarshaller
GetEvaluationRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetEvaluationRequest Marshaller
GetEvaluationRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetEvaluationRequestProtocolMarshaller
GetEvaluationResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetEvaluation operation and describes an Evaluation.
GetEvaluationResult() - Constructor for class com.amazonaws.services.machinelearning.model.GetEvaluationResult
GetEvaluationResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetEvaluationResult JSON Unmarshaller
GetEvaluationResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetEvaluationResultJsonUnmarshaller
getExecutorService() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns the executor service used by this client to execute async requests.
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction:
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource:
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects:
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel:
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel
getGE() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than or equal to operator.
getGE() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than or equal to operator.
getGE() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than or equal to operator.
getGE() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than or equal to operator.
getGT() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than operator.
getGT() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than operator.
getGT() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than operator.
getGT() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than operator.
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.AddTagsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.AddTagsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.BatchPredictionJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.BatchPredictionMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3RequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3ResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateMLModelRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateMLModelResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DataSourceJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DataSourceMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteTagsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DeleteTagsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeTagsRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.DescribeTagsResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.EvaluationJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.EvaluationMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetDataSourceRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetDataSourceResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetEvaluationRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetEvaluationResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetMLModelRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.GetMLModelResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.MLModelJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.MLModelMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PredictionJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PredictionMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PredictRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.PredictResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSMetadataJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RDSMetadataMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.S3DataSpecJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.S3DataSpecMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.TagJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.TagMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationResultJsonUnmarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelRequestMarshaller
getInstance() - Static method in class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelResultJsonUnmarshaller
getInstanceIdentifier() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase: The ID of an RDS DB instance.
getInvalidRecordCount() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
getInvalidRecordCount() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.
getKey() - Method in class com.amazonaws.services.machinelearning.model.Tag: A unique identifier for the tag.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time of the most recent edit to the BatchPrediction.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time of the most recent edit to the BatchPrediction.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time of the most recent edit to the Evaluation.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time of the most recent edit to BatchPrediction.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time of the most recent edit to the DataSource.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time of the most recent edit to the Evaluation.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the MLModel.
getLE() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than or equal to operator.
getLE() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than or equal to operator.
getLE() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than or equal to operator.
getLE() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than or equal to operator.
getLimit() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The number of pages of information to include in the result.
getLimit() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The maximum number of DataSource to include in the result.
getLimit() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The maximum number of Evaluation to include in the result.
getLimit() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The number of pages of information to include in the result.
getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A link to the file that contains logs of the CreateBatchPrediction operation.
getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A link to the file containing logs of CreateDataSourceFrom* operations.
getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A link to the file that contains logs of the CreateEvaluation operation.
getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
getLT() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than operator.
getLT() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than operator.
getLT() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than operator.
getLT() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than operator.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A description of the most recent details about processing the batch prediction request.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.DataSource: A description of the most recent details about creating the DataSource.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A description of the most recent details about evaluating the MLModel.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A description of the most recent details about processing the batch prediction request.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The user-supplied description of the most recent details about creating the DataSource.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A description of the most recent details about evaluating the MLModel.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.MLModel: A description of the most recent details about accessing the MLModel.
getMLModel(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
getMLModel(GetMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModel(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModelAsync(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
getMLModelAsync(GetMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModelAsync(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the MLModel that generated predictions for the BatchPrediction request.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the MLModel that will generate predictions for the group of observations.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the MLModel to evaluate.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the MLModel that is the focus of the evaluation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the MLModel that generated predictions for the BatchPrediction request.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The ID of the MLModel that was the focus of the evaluation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID assigned to the MLModel at creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ID assigned to the MLModel during creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult: The ID assigned to the MLModel during creation.
getMLModelName() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied name or description of the MLModel.
getMLModelName() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: A user-supplied name or description of the MLModel.
GetMLModelRequest - Class in com.amazonaws.services.machinelearning.model
GetMLModelRequest() - Constructor for class com.amazonaws.services.machinelearning.model.GetMLModelRequest
GetMLModelRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetMLModelRequestMarshaller
GetMLModelRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetMLModelRequestMarshaller
GetMLModelRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetMLModelRequest Marshaller
GetMLModelRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetMLModelRequestProtocolMarshaller
GetMLModelResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.
GetMLModelResult() - Constructor for class com.amazonaws.services.machinelearning.model.GetMLModelResult
GetMLModelResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: GetMLModelResult JSON Unmarshaller
GetMLModelResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.GetMLModelResultJsonUnmarshaller
getMLModelType() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The category of supervised learning that this MLModel will address.
getMLModelType() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
getMLModelType() - Method in class com.amazonaws.services.machinelearning.model.MLModel: Identifies the MLModel category.
getName() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A user-supplied name or description of the BatchPrediction.
getName() - Method in class com.amazonaws.services.machinelearning.model.DataSource: A user-supplied name or description of the DataSource.
getName() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A user-supplied name or description of the Evaluation.
getName() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A user-supplied name or description of the BatchPrediction.
getName() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A user-supplied name or description of the DataSource.
getName() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A user-supplied name or description of the Evaluation.
getName() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
getName() - Method in class com.amazonaws.services.machinelearning.model.MLModel: A user-supplied name or description of the MLModel.
getNE() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The not equal to operator.
getNE() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The not equal to operator.
getNE() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The not equal to operator.
getNE() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The not equal to operator.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: An ID of the page in the paginated results.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The ID of the page in the paginated results.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: An ID of the next page in the paginated results that indicates at least one more page follows.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The ID of the page in the paginated results.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The ID of the page in the paginated results.
getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
getNumberOfFiles() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The number of data files referenced by the DataSource.
getNumberOfFiles() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The number of data files referenced by the DataSource.
getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of an Amazon S3 bucket or directory to receive the operation results.
getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.
getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of an Amazon S3 bucket or directory to receive the operation results.
getParameters() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A list of the training parameters in the MLModel.
getPassword() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
getPassword() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
getPeakRequestsPerSecond() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
getPerformanceMetrics() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: Measurements of how well the MLModel performed, using observations referenced by the DataSource.
getPerformanceMetrics() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: Measurements of how well the MLModel performed using observations referenced by the DataSource.
getPredictedLabel() - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
getPredictedScores() - Method in class com.amazonaws.services.machinelearning.model.Prediction
getPredictedValue() - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
getPredictEndpoint() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
getPrediction() - Method in class com.amazonaws.services.machinelearning.model.PredictResult
getPrefix() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A string that is found at the beginning of a variable, such as Name or Id.
getPrefix() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A string that is found at the beginning of a variable, such as Name or Id.
getPrefix() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A string that is found at the beginning of a variable, such as Name or Id.
getPrefix() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A string that is found at the beginning of a variable, such as Name or Id.
getProperties() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
getRDSData() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The data specification of an Amazon RDS DataSource:
getRDSMetadata() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getRDSMetadata() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
getRealtimeEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: The endpoint information of the MLModel
getRealtimeEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: The endpoint information of the MLModel
getRecipe() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The data recipe for creating the MLModel.
getRecipe() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
getRecipeUri() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.
getRecord() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
getRedshiftDatabase() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
getRedshiftMetadata() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getRedshiftMetadata() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The ID of the ML object to tag.
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The ID of the ML object that was tagged.
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The ID of the tagged ML object.
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The ID of the ML object from which tags were deleted.
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The ID of the ML object.
getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The ID of the tagged ML object.
getResourceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.
getResourceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The type of the ML object to tag.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The type of the ML object that was tagged.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The type of the tagged ML object.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The type of the ML object from which tags were deleted.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The type of the ML object.
getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The type of the tagged ML object.
getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: A list of BatchPrediction objects that meet the search criteria.
getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: A list of DataSource that meet the search criteria.
getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: A list of Evaluation that meet the search criteria.
getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: A list of MLModel that meet the search criteria.
getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.
getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A fully specified role Amazon Resource Name (ARN).
getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
getS3StagingLocation() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location for staging Amazon RDS data.
getS3StagingLocation() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.
getSchema() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.MLModel
getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.
getScoreThresholdLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
getScoreThresholdLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the ScoreThreshold.
getSecurityGroupIds() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The security group IDs to be used to access a VPC-based RDS DB instance.
getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The query that is used to retrieve the observation data for the DataSource.
getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The SQL query that is supplied during CreateDataSourceFromRDS.
getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.
getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: The SQL query that is specified during CreateDataSourceFromRedshift.
getServiceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
getServiceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.MLModel
getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A two-value parameter that determines the sequence of the resulting list of MLModels.
getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A two-value parameter that determines the sequence of the resulting list of DataSource.
getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A two-value parameter that determines the sequence of the resulting list of Evaluation.
getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A two-value parameter that determines the sequence of the resulting list of MLModel.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel
getStatus() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The status of the BatchPrediction.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The current status of the DataSource.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The status of the evaluation.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values:
getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The current status of the DataSource.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The status of the evaluation.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current status of an MLModel.
getSubnetId() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The subnet ID to be used to access a VPC-based RDS DB instance.
getTagKeys() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: One or more tags to delete.
getTags() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The key-value pairs to use to create tags.
getTags() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: A list of tags associated with the ML object.
getTotalRecordCount() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
getTotalRecordCount() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.
getTrainingDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The DataSource that points to the training data.
getTrainingDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
getTrainingDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID of the training DataSource.
getTrainingParameters() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
getTrainingParameters() - Method in class com.amazonaws.services.machinelearning.model.MLModel: A list of the training parameters in the MLModel.
getUsername() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
getUsername() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
getValue() - Method in class com.amazonaws.services.machinelearning.model.Tag: An optional string, typically used to describe or define the tag.
getVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: Specifies whether the GetDataSource operation should return DataSourceSchema.
getVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

H

hashCode() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DataSource
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.Evaluation
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.MLModel
hashCode() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
hashCode() - Method in class com.amazonaws.services.machinelearning.model.Prediction
hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
hashCode() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec
hashCode() - Method in class com.amazonaws.services.machinelearning.model.Tag
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

I

IdempotentParameterMismatchException - Exception in com.amazonaws.services.machinelearning.model: A second request to use or change an object was not allowed.
IdempotentParameterMismatchException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException: Constructs a new IdempotentParameterMismatchException with the specified error message.
InternalServerException - Exception in com.amazonaws.services.machinelearning.model: An error on the server occurred when trying to process a request.
InternalServerException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InternalServerException: Constructs a new InternalServerException with the specified error message.
InvalidInputException - Exception in com.amazonaws.services.machinelearning.model: An error on the client occurred.
InvalidInputException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InvalidInputException: Constructs a new InvalidInputException with the specified error message.
InvalidTagException - Exception in com.amazonaws.services.machinelearning.model
InvalidTagException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InvalidTagException: Constructs a new InvalidTagException with the specified error message.
isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The compute statistics for a DataSource.
isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The compute statistics for a DataSource.
isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The compute statistics for a DataSource.
isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.DataSource: The parameter is true if statistics need to be generated from the observation data.
isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The parameter is true if statistics need to be generated from the observation data.
isVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: Specifies whether the GetDataSource operation should return DataSourceSchema.
isVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

L

LimitExceededException - Exception in com.amazonaws.services.machinelearning.model: The subscriber exceeded the maximum number of operations.
LimitExceededException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.LimitExceededException: Constructs a new LimitExceededException with the specified error message.

M

marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.DataSource
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.MLModel
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.Prediction
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec
marshall(ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.Tag
marshall(AddTagsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.AddTagsRequestMarshaller: Marshall the given parameter object.
marshall(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.AddTagsRequestProtocolMarshaller
marshall(BatchPrediction, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.BatchPredictionMarshaller: Marshall the given parameter object.
marshall(CreateBatchPredictionRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionRequestMarshaller: Marshall the given parameter object.
marshall(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionRequestProtocolMarshaller
marshall(CreateDataSourceFromRDSRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSRequestMarshaller: Marshall the given parameter object.
marshall(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSRequestProtocolMarshaller
marshall(CreateDataSourceFromRedshiftRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftRequestMarshaller: Marshall the given parameter object.
marshall(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftRequestProtocolMarshaller
marshall(CreateDataSourceFromS3Request, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3RequestMarshaller: Marshall the given parameter object.
marshall(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3RequestProtocolMarshaller
marshall(CreateEvaluationRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationRequestMarshaller: Marshall the given parameter object.
marshall(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationRequestProtocolMarshaller
marshall(CreateMLModelRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateMLModelRequestMarshaller: Marshall the given parameter object.
marshall(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateMLModelRequestProtocolMarshaller
marshall(CreateRealtimeEndpointRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointRequestMarshaller: Marshall the given parameter object.
marshall(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointRequestProtocolMarshaller
marshall(DataSource, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DataSourceMarshaller: Marshall the given parameter object.
marshall(DeleteBatchPredictionRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionRequestMarshaller: Marshall the given parameter object.
marshall(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionRequestProtocolMarshaller
marshall(DeleteDataSourceRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceRequestMarshaller: Marshall the given parameter object.
marshall(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceRequestProtocolMarshaller
marshall(DeleteEvaluationRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationRequestMarshaller: Marshall the given parameter object.
marshall(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationRequestProtocolMarshaller
marshall(DeleteMLModelRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelRequestMarshaller: Marshall the given parameter object.
marshall(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelRequestProtocolMarshaller
marshall(DeleteRealtimeEndpointRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointRequestMarshaller: Marshall the given parameter object.
marshall(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointRequestProtocolMarshaller
marshall(DeleteTagsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteTagsRequestMarshaller: Marshall the given parameter object.
marshall(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteTagsRequestProtocolMarshaller
marshall(DescribeBatchPredictionsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsRequestMarshaller: Marshall the given parameter object.
marshall(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsRequestProtocolMarshaller
marshall(DescribeDataSourcesRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesRequestMarshaller: Marshall the given parameter object.
marshall(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesRequestProtocolMarshaller
marshall(DescribeEvaluationsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsRequestMarshaller: Marshall the given parameter object.
marshall(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsRequestProtocolMarshaller
marshall(DescribeMLModelsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsRequestMarshaller: Marshall the given parameter object.
marshall(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsRequestProtocolMarshaller
marshall(DescribeTagsRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeTagsRequestMarshaller: Marshall the given parameter object.
marshall(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeTagsRequestProtocolMarshaller
marshall(Evaluation, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.EvaluationMarshaller: Marshall the given parameter object.
marshall(GetBatchPredictionRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionRequestMarshaller: Marshall the given parameter object.
marshall(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionRequestProtocolMarshaller
marshall(GetDataSourceRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.GetDataSourceRequestMarshaller: Marshall the given parameter object.
marshall(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.GetDataSourceRequestProtocolMarshaller
marshall(GetEvaluationRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.GetEvaluationRequestMarshaller: Marshall the given parameter object.
marshall(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.GetEvaluationRequestProtocolMarshaller
marshall(GetMLModelRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.GetMLModelRequestMarshaller: Marshall the given parameter object.
marshall(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.GetMLModelRequestProtocolMarshaller
marshall(MLModel, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.MLModelMarshaller: Marshall the given parameter object.
marshall(PerformanceMetrics, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsMarshaller: Marshall the given parameter object.
marshall(Prediction, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.PredictionMarshaller: Marshall the given parameter object.
marshall(PredictRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.PredictRequestMarshaller: Marshall the given parameter object.
marshall(PredictRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.PredictRequestProtocolMarshaller
marshall(RDSDatabaseCredentials, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsMarshaller: Marshall the given parameter object.
marshall(RDSDatabase, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseMarshaller: Marshall the given parameter object.
marshall(RDSDataSpec, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecMarshaller: Marshall the given parameter object.
marshall(RDSMetadata, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSMetadataMarshaller: Marshall the given parameter object.
marshall(RealtimeEndpointInfo, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoMarshaller: Marshall the given parameter object.
marshall(RedshiftDatabaseCredentials, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsMarshaller: Marshall the given parameter object.
marshall(RedshiftDatabase, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseMarshaller: Marshall the given parameter object.
marshall(RedshiftDataSpec, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecMarshaller: Marshall the given parameter object.
marshall(RedshiftMetadata, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataMarshaller: Marshall the given parameter object.
marshall(S3DataSpec, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.S3DataSpecMarshaller: Marshall the given parameter object.
marshall(Tag, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.TagMarshaller: Marshall the given parameter object.
marshall(UpdateBatchPredictionRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionRequestMarshaller: Marshall the given parameter object.
marshall(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionRequestProtocolMarshaller
marshall(UpdateDataSourceRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceRequestMarshaller: Marshall the given parameter object.
marshall(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceRequestProtocolMarshaller
marshall(UpdateEvaluationRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationRequestMarshaller: Marshall the given parameter object.
marshall(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationRequestProtocolMarshaller
marshall(UpdateMLModelRequest, ProtocolMarshaller) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelRequestMarshaller: Marshall the given parameter object.
marshall(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelRequestProtocolMarshaller
MLModel - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetMLModel operation.
MLModel() - Constructor for class com.amazonaws.services.machinelearning.model.MLModel
mLModelAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters: Builds a MLModelAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
MLModelFilterVariable - Enum in com.amazonaws.services.machinelearning.model
MLModelJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: MLModel JSON Unmarshaller
MLModelJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.MLModelJsonUnmarshaller
MLModelMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: MLModelMarshaller
MLModelMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.MLModelMarshaller
MLModelType - Enum in com.amazonaws.services.machinelearning.model

P

PerformanceMetrics - Class in com.amazonaws.services.machinelearning.model: Measurements of how well the MLModel performed on known observations.
PerformanceMetrics() - Constructor for class com.amazonaws.services.machinelearning.model.PerformanceMetrics
PerformanceMetricsJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PerformanceMetrics JSON Unmarshaller
PerformanceMetricsJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsJsonUnmarshaller
PerformanceMetricsMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PerformanceMetricsMarshaller
PerformanceMetricsMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsMarshaller
predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
predict(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Generates a prediction for the observation using the specified ML Model.
predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Generates a prediction for the observation using the specified ML Model.
predictAsync(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
predictAsync(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates a prediction for the observation using the specified ML Model.
predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates a prediction for the observation using the specified ML Model.
predictAsync(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
PredictEndpointHandler - Class in com.amazonaws.services.machinelearning.internal: Predict calls are sent to a predictor-specific endpoint.
PredictEndpointHandler() - Constructor for class com.amazonaws.services.machinelearning.internal.PredictEndpointHandler
Prediction - Class in com.amazonaws.services.machinelearning.model: The output from a Predict operation:
Prediction() - Constructor for class com.amazonaws.services.machinelearning.model.Prediction
PredictionJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: Prediction JSON Unmarshaller
PredictionJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PredictionJsonUnmarshaller
PredictionMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PredictionMarshaller
PredictionMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PredictionMarshaller
PredictorNotMountedException - Exception in com.amazonaws.services.machinelearning.model: The exception is thrown when a predict request is made to an unmounted MLModel.
PredictorNotMountedException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.PredictorNotMountedException: Constructs a new PredictorNotMountedException with the specified error message.
PredictRequest - Class in com.amazonaws.services.machinelearning.model
PredictRequest() - Constructor for class com.amazonaws.services.machinelearning.model.PredictRequest
PredictRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PredictRequestMarshaller
PredictRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PredictRequestMarshaller
PredictRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PredictRequest Marshaller
PredictRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.PredictRequestProtocolMarshaller
PredictResult - Class in com.amazonaws.services.machinelearning.model
PredictResult() - Constructor for class com.amazonaws.services.machinelearning.model.PredictResult
PredictResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: PredictResult JSON Unmarshaller
PredictResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.PredictResultJsonUnmarshaller

R

RandomIdHandler - Class in com.amazonaws.services.machinelearning.internal: CreateXxx API calls require a unique (for all time!) ID parameter for idempotency.
RandomIdHandler() - Constructor for class com.amazonaws.services.machinelearning.internal.RandomIdHandler
RDSDatabase - Class in com.amazonaws.services.machinelearning.model: The database details of an Amazon RDS database.
RDSDatabase() - Constructor for class com.amazonaws.services.machinelearning.model.RDSDatabase
RDSDatabaseCredentials - Class in com.amazonaws.services.machinelearning.model: The database credentials to connect to a database on an RDS DB instance.
RDSDatabaseCredentials() - Constructor for class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
RDSDatabaseCredentialsJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDatabaseCredentials JSON Unmarshaller
RDSDatabaseCredentialsJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsJsonUnmarshaller
RDSDatabaseCredentialsMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDatabaseCredentialsMarshaller
RDSDatabaseCredentialsMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsMarshaller
RDSDatabaseJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDatabase JSON Unmarshaller
RDSDatabaseJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseJsonUnmarshaller
RDSDatabaseMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDatabaseMarshaller
RDSDatabaseMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseMarshaller
RDSDataSpec - Class in com.amazonaws.services.machinelearning.model: The data specification of an Amazon Relational Database Service (Amazon RDS) DataSource.
RDSDataSpec() - Constructor for class com.amazonaws.services.machinelearning.model.RDSDataSpec
RDSDataSpecJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDataSpec JSON Unmarshaller
RDSDataSpecJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecJsonUnmarshaller
RDSDataSpecMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSDataSpecMarshaller
RDSDataSpecMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecMarshaller
RDSMetadata - Class in com.amazonaws.services.machinelearning.model: The datasource details that are specific to Amazon RDS.
RDSMetadata() - Constructor for class com.amazonaws.services.machinelearning.model.RDSMetadata
RDSMetadataJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSMetadata JSON Unmarshaller
RDSMetadataJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSMetadataJsonUnmarshaller
RDSMetadataMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RDSMetadataMarshaller
RDSMetadataMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RDSMetadataMarshaller
RealtimeEndpointInfo - Class in com.amazonaws.services.machinelearning.model: Describes the real-time endpoint information for an MLModel.
RealtimeEndpointInfo() - Constructor for class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
RealtimeEndpointInfoJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RealtimeEndpointInfo JSON Unmarshaller
RealtimeEndpointInfoJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoJsonUnmarshaller
RealtimeEndpointInfoMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RealtimeEndpointInfoMarshaller
RealtimeEndpointInfoMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoMarshaller
RealtimeEndpointStatus - Enum in com.amazonaws.services.machinelearning.model
RedshiftDatabase - Class in com.amazonaws.services.machinelearning.model: Describes the database details required to connect to an Amazon Redshift database.
RedshiftDatabase() - Constructor for class com.amazonaws.services.machinelearning.model.RedshiftDatabase
RedshiftDatabaseCredentials - Class in com.amazonaws.services.machinelearning.model: Describes the database credentials for connecting to a database on an Amazon Redshift cluster.
RedshiftDatabaseCredentials() - Constructor for class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
RedshiftDatabaseCredentialsJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDatabaseCredentials JSON Unmarshaller
RedshiftDatabaseCredentialsJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsJsonUnmarshaller
RedshiftDatabaseCredentialsMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDatabaseCredentialsMarshaller
RedshiftDatabaseCredentialsMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsMarshaller
RedshiftDatabaseJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDatabase JSON Unmarshaller
RedshiftDatabaseJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseJsonUnmarshaller
RedshiftDatabaseMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDatabaseMarshaller
RedshiftDatabaseMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseMarshaller
RedshiftDataSpec - Class in com.amazonaws.services.machinelearning.model: Describes the data specification of an Amazon Redshift DataSource.
RedshiftDataSpec() - Constructor for class com.amazonaws.services.machinelearning.model.RedshiftDataSpec
RedshiftDataSpecJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDataSpec JSON Unmarshaller
RedshiftDataSpecJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecJsonUnmarshaller
RedshiftDataSpecMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftDataSpecMarshaller
RedshiftDataSpecMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecMarshaller
RedshiftMetadata - Class in com.amazonaws.services.machinelearning.model: Describes the DataSource details specific to Amazon Redshift.
RedshiftMetadata() - Constructor for class com.amazonaws.services.machinelearning.model.RedshiftMetadata
RedshiftMetadataJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftMetadata JSON Unmarshaller
RedshiftMetadataJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataJsonUnmarshaller
RedshiftMetadataMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: RedshiftMetadataMarshaller
RedshiftMetadataMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataMarshaller
ResourceNotFoundException - Exception in com.amazonaws.services.machinelearning.model: A specified resource cannot be located.
ResourceNotFoundException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Constructs a new ResourceNotFoundException with the specified error message.

S

S3DataSpec - Class in com.amazonaws.services.machinelearning.model: Describes the data specification of a DataSource.
S3DataSpec() - Constructor for class com.amazonaws.services.machinelearning.model.S3DataSpec
S3DataSpecJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: S3DataSpec JSON Unmarshaller
S3DataSpecJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.S3DataSpecJsonUnmarshaller
S3DataSpecMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: S3DataSpecMarshaller
S3DataSpecMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.S3DataSpecMarshaller
setAlgorithm(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The algorithm used to train the MLModel.
setAlgorithm(Algorithm) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The algorithm used to train the MLModel.
setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the DataSource that points to the group of observations to predict.
setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the DataSource that points to the group of observations to predict.
setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the DataSource that was used to create the BatchPrediction.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID assigned to the BatchPrediction at creation.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest: An ID assigned to the BatchPrediction at creation.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: An ID assigned to the BatchPrediction at creation.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: The ID assigned to the BatchPrediction during creation.
setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult: The ID assigned to the BatchPrediction during creation.
setBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied name or description of the BatchPrediction.
setBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: A new user-supplied name or description of the BatchPrediction.
setClusterIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException
setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The compute statistics for a DataSource.
setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The compute statistics for a DataSource.
setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The compute statistics for a DataSource.
setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The parameter is true if statistics need to be generated from the observation data.
setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The parameter is true if statistics need to be generated from the observation data.
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time that the BatchPrediction was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time that the DataSource was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time that the Evaluation was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time when the BatchPrediction was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time that the DataSource was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time that the Evaluation was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time that the MLModel was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The AWS user account that invoked the BatchPrediction.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The AWS user account from which the DataSource was created.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The AWS user account that invoked the evaluation.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The AWS user account that invoked the BatchPrediction.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The AWS user account from which the DataSource was created.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The AWS user account that invoked the evaluation.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The AWS user account from which the MLModel was created.
setDatabase(RDSDatabase) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The database details required to connect to an Amazon RDS.
setDatabaseCredentials(RDSDatabaseCredentials) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.
setDatabaseCredentials(RedshiftDatabaseCredentials) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.
setDatabaseInformation(RDSDatabase) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.
setDatabaseInformation(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.
setDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
setDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
setDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
setDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: The location of the data file(s) used by a DataSource.
setDataPipelineId(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.
setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
setDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the schema for an Amazon RDS DataSource.
setDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the schema for an Amazon Redshift DataSource.
setDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the schema for an Amazon S3 DataSource.
setDataSchemaLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes the schema location in Amazon S3.
setDataSchemaUri(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location of the DataSchema.
setDataSchemaUri(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema location for an Amazon Redshift DataSource.
setDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The total number of observations contained in the data files that the DataSource references.
setDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The total size of observations in the data files.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied ID that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult: A user-supplied ID that uniquely identifies the datasource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied ID that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult: A user-supplied ID that uniquely identifies the datasource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied identifier that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result: A user-supplied ID that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The ID that is assigned to the DataSource during creation.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest: A user-supplied ID that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult: A user-supplied ID that uniquely identifies the DataSource.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: The ID assigned to the DataSource at creation.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The ID assigned to the DataSource at creation.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: The ID assigned to the DataSource during creation.
setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult: The ID assigned to the DataSource during creation.
setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied name or description of the DataSource.
setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied name or description of the DataSource.
setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied name or description of the DataSource.
setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: A new user-supplied name or description of the DataSource that will replace the current description.
setDataSourceSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The schema used by all of the data files of this DataSource.
setDataSpec(RedshiftDataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The data specification of an Amazon Redshift DataSource:
setDataSpec(S3DataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The data specification of a DataSource:
setDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction
setEndpoint(String) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
setEndpoint(String) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Deprecated.
use AwsClientBuilder#setEndpointConfiguration(AwsClientBuilder.EndpointConfiguration) for example: builder.setEndpointConfiguration(new EndpointConfiguration(endpoint, signingRegion));
setEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
setEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current endpoint of the MLModel.
setEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel.
setEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel.
setEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
setEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The equal to operator.
setEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The equal to operator.
setEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The equal to operator.
setEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The equal to operator.
setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the DataSource for the evaluation.
setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the DataSource that is used to evaluate the MLModel.
setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The DataSource used for this evaluation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult: The user-supplied ID that uniquely identifies the Evaluation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation to delete.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult: A user-supplied ID that uniquely identifies the Evaluation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID that is assigned to the Evaluation at creation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest: The ID of the Evaluation to retrieve.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The evaluation ID which is same as the EvaluationId in the request.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: The ID assigned to the Evaluation during creation.
setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult: The ID assigned to the Evaluation during creation.
setEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied name or description of the Evaluation.
setEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: A new user-supplied name or description of the Evaluation that will replace the current content.
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction:
setFilterVariable(BatchPredictionFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction:
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource:
setFilterVariable(DataSourceFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource:
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects:
setFilterVariable(EvaluationFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects:
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel:
setFilterVariable(MLModelFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel:
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel
setGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than or equal to operator.
setGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than or equal to operator.
setGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than or equal to operator.
setGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than or equal to operator.
setGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than operator.
setGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than operator.
setGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than operator.
setGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than operator.
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setInstanceIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase: The ID of an RDS DB instance.
setInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
setInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.
setKey(String) - Method in class com.amazonaws.services.machinelearning.model.Tag: A unique identifier for the tag.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time of the most recent edit to the BatchPrediction.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time of the most recent edit to the BatchPrediction.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time of the most recent edit to the Evaluation.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time of the most recent edit to BatchPrediction.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time of the most recent edit to the DataSource.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time of the most recent edit to the Evaluation.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the MLModel.
setLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than or equal to operator.
setLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than or equal to operator.
setLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than or equal to operator.
setLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than or equal to operator.
setLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The number of pages of information to include in the result.
setLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The maximum number of DataSource to include in the result.
setLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The maximum number of Evaluation to include in the result.
setLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The number of pages of information to include in the result.
setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A link to the file that contains logs of the CreateBatchPrediction operation.
setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A link to the file containing logs of CreateDataSourceFrom* operations.
setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A link to the file that contains logs of the CreateEvaluation operation.
setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
setLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than operator.
setLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than operator.
setLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than operator.
setLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than operator.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A description of the most recent details about processing the batch prediction request.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A description of the most recent details about creating the DataSource.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A description of the most recent details about evaluating the MLModel.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A description of the most recent details about processing the batch prediction request.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The user-supplied description of the most recent details about creating the DataSource.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A description of the most recent details about evaluating the MLModel.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A description of the most recent details about accessing the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the MLModel that generated predictions for the BatchPrediction request.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the MLModel that will generate predictions for the group of observations.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the MLModel to evaluate.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the MLModel that is the focus of the evaluation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the MLModel that generated predictions for the BatchPrediction request.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The ID of the MLModel that was the focus of the evaluation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID assigned to the MLModel at creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ID assigned to the MLModel during creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult: The ID assigned to the MLModel during creation.
setMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied name or description of the MLModel.
setMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: A user-supplied name or description of the MLModel.
setMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The category of supervised learning that this MLModel will address.
setMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The category of supervised learning that this MLModel will address.
setMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
setMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
setMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Identifies the MLModel category.
setMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Identifies the MLModel category.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A user-supplied name or description of the BatchPrediction.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A user-supplied name or description of the DataSource.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A user-supplied name or description of the Evaluation.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A user-supplied name or description of the BatchPrediction.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A user-supplied name or description of the DataSource.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A user-supplied name or description of the Evaluation.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A user-supplied name or description of the MLModel.
setNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The not equal to operator.
setNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The not equal to operator.
setNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The not equal to operator.
setNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The not equal to operator.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: An ID of the page in the paginated results.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The ID of the page in the paginated results.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: An ID of the next page in the paginated results that indicates at least one more page follows.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The ID of the page in the paginated results.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The ID of the page in the paginated results.
setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
setNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The number of data files referenced by the DataSource.
setNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The number of data files referenced by the DataSource.
setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of an Amazon S3 bucket or directory to receive the operation results.
setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.
setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of an Amazon S3 bucket or directory to receive the operation results.
setParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A list of the training parameters in the MLModel.
setPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
setPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
setPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
setPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: Measurements of how well the MLModel performed, using observations referenced by the DataSource.
setPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: Measurements of how well the MLModel performed using observations referenced by the DataSource.
setPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
setPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction
setPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
setPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
setPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult
setPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A string that is found at the beginning of a variable, such as Name or Id.
setPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A string that is found at the beginning of a variable, such as Name or Id.
setPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A string that is found at the beginning of a variable, such as Name or Id.
setPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A string that is found at the beginning of a variable, such as Name or Id.
setProperties(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
setRDSData(RDSDataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The data specification of an Amazon RDS DataSource:
setRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
setRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: The endpoint information of the MLModel
setRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: The endpoint information of the MLModel
setRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The data recipe for creating the MLModel.
setRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
setRecipeUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.
setRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
setRedshiftDatabase(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
setRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
setRegion(Region) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
setRegion(Region) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Deprecated.
use AwsClientBuilder#setRegion(String)
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The ID of the ML object to tag.
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The ID of the ML object that was tagged.
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The ID of the tagged ML object.
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The ID of the ML object from which tags were deleted.
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The ID of the ML object.
setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The ID of the tagged ML object.
setResourceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.
setResourceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The type of the ML object to tag.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The type of the ML object to tag.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The type of the ML object that was tagged.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The type of the ML object that was tagged.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The type of the tagged ML object.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The type of the tagged ML object.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The type of the ML object from which tags were deleted.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The type of the ML object from which tags were deleted.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The type of the ML object.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The type of the ML object.
setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The type of the tagged ML object.
setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The type of the tagged ML object.
setResults(Collection<BatchPrediction>) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: A list of BatchPrediction objects that meet the search criteria.
setResults(Collection<DataSource>) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: A list of DataSource that meet the search criteria.
setResults(Collection<Evaluation>) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: A list of Evaluation that meet the search criteria.
setResults(Collection<MLModel>) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: A list of MLModel that meet the search criteria.
setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.
setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A fully specified role Amazon Resource Name (ARN).
setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
setS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location for staging Amazon RDS data.
setS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.
setSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.MLModel
setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.
setScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
setScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the ScoreThreshold.
setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The security group IDs to be used to access a VPC-based RDS DB instance.
setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The query that is used to retrieve the observation data for the DataSource.
setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The SQL query that is supplied during CreateDataSourceFromRDS.
setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.
setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: The SQL query that is specified during CreateDataSourceFromRedshift.
setServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
setServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel
setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A two-value parameter that determines the sequence of the resulting list of MLModels.
setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A two-value parameter that determines the sequence of the resulting list of MLModels.
setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A two-value parameter that determines the sequence of the resulting list of DataSource.
setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A two-value parameter that determines the sequence of the resulting list of DataSource.
setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A two-value parameter that determines the sequence of the resulting list of Evaluation.
setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A two-value parameter that determines the sequence of the resulting list of Evaluation.
setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A two-value parameter that determines the sequence of the resulting list of MLModel.
setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A two-value parameter that determines the sequence of the resulting list of MLModel.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The status of the BatchPrediction.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The status of the BatchPrediction.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The current status of the DataSource.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The current status of the DataSource.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The status of the evaluation.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The status of the evaluation.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values:
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values:
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The current status of the DataSource.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The current status of the DataSource.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The status of the evaluation.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The status of the evaluation.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current status of an MLModel.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current status of an MLModel.
setSubnetId(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The subnet ID to be used to access a VPC-based RDS DB instance.
setTagKeys(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: One or more tags to delete.
setTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The key-value pairs to use to create tags.
setTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: A list of tags associated with the ML object.
setTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
setTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.
setTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The DataSource that points to the training data.
setTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
setTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID of the training DataSource.
setTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
setTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A list of the training parameters in the MLModel.
setUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
setUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
setValue(String) - Method in class com.amazonaws.services.machinelearning.model.Tag: An optional string, typically used to describe or define the tag.
setVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: Specifies whether the GetDataSource operation should return DataSourceSchema.
setVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.
shutdown() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
shutdown() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Shuts down this client object, releasing any resources that might be held open.
shutdown() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Shuts down the client, releasing all managed resources.
shutdown() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
shutdown() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters
SortOrder - Enum in com.amazonaws.services.machinelearning.model: The sort order specified in a listing condition.
standard() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder
standard() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder

T

Tag - Class in com.amazonaws.services.machinelearning.model: A custom key-value pair associated with an ML object, such as an ML model.
Tag() - Constructor for class com.amazonaws.services.machinelearning.model.Tag
TaggableResourceType - Enum in com.amazonaws.services.machinelearning.model
TagJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: Tag JSON Unmarshaller
TagJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.TagJsonUnmarshaller
TagLimitExceededException - Exception in com.amazonaws.services.machinelearning.model
TagLimitExceededException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.TagLimitExceededException: Constructs a new TagLimitExceededException with the specified error message.
TagMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: TagMarshaller
TagMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.TagMarshaller
toString() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.Algorithm
toString() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DataSource: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes
toString() - Method in enum com.amazonaws.services.machinelearning.model.EntityStatus
toString() - Method in class com.amazonaws.services.machinelearning.model.Evaluation: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable
toString() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.MLModel: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable
toString() - Method in enum com.amazonaws.services.machinelearning.model.MLModelType
toString() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.PredictResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus
toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.SortOrder
toString() - Method in class com.amazonaws.services.machinelearning.model.Tag: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult: Returns a string representation of this object; useful for testing and debugging.

U

unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.AddTagsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.BatchPredictionJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateBatchPredictionResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRDSResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromRedshiftResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateDataSourceFromS3ResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateEvaluationResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateMLModelResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.CreateRealtimeEndpointResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DataSourceJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteBatchPredictionResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteDataSourceResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteEvaluationResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteMLModelResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteRealtimeEndpointResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DeleteTagsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeBatchPredictionsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeDataSourcesResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeEvaluationsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeMLModelsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.DescribeTagsResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.EvaluationJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.GetBatchPredictionResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.GetDataSourceResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.GetEvaluationResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.GetMLModelResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.MLModelJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.PerformanceMetricsJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.PredictionJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.PredictResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseCredentialsJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDatabaseJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSDataSpecJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RDSMetadataJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RealtimeEndpointInfoJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseCredentialsJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDatabaseJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftDataSpecJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.RedshiftMetadataJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.S3DataSpecJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.TagJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationResultJsonUnmarshaller
unmarshall(JsonUnmarshallerContext) - Method in class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelResultJsonUnmarshaller
updateBatchPrediction(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
updateBatchPrediction(UpdateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Updates the BatchPredictionName of a BatchPrediction.
updateBatchPrediction(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Updates the BatchPredictionName of a BatchPrediction.
updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the BatchPredictionName of a BatchPrediction.
updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the BatchPredictionName of a BatchPrediction.
updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
UpdateBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model
UpdateBatchPredictionRequest() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest
UpdateBatchPredictionRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateBatchPredictionRequestMarshaller
UpdateBatchPredictionRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionRequestMarshaller
UpdateBatchPredictionRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateBatchPredictionRequest Marshaller
UpdateBatchPredictionRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionRequestProtocolMarshaller
UpdateBatchPredictionResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an UpdateBatchPrediction operation.
UpdateBatchPredictionResult() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult
UpdateBatchPredictionResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateBatchPredictionResult JSON Unmarshaller
UpdateBatchPredictionResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateBatchPredictionResultJsonUnmarshaller
updateDataSource(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
updateDataSource(UpdateDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Updates the DataSourceName of a DataSource.
updateDataSource(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Updates the DataSourceName of a DataSource.
updateDataSourceAsync(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateDataSourceAsync(UpdateDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the DataSourceName of a DataSource.
updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the DataSourceName of a DataSource.
updateDataSourceAsync(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
UpdateDataSourceRequest - Class in com.amazonaws.services.machinelearning.model
UpdateDataSourceRequest() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest
UpdateDataSourceRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateDataSourceRequestMarshaller
UpdateDataSourceRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceRequestMarshaller
UpdateDataSourceRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateDataSourceRequest Marshaller
UpdateDataSourceRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceRequestProtocolMarshaller
UpdateDataSourceResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an UpdateDataSource operation.
UpdateDataSourceResult() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult
UpdateDataSourceResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateDataSourceResult JSON Unmarshaller
UpdateDataSourceResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateDataSourceResultJsonUnmarshaller
updateEvaluation(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
updateEvaluation(UpdateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Updates the EvaluationName of an Evaluation.
updateEvaluation(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Updates the EvaluationName of an Evaluation.
updateEvaluationAsync(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateEvaluationAsync(UpdateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the EvaluationName of an Evaluation.
updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the EvaluationName of an Evaluation.
updateEvaluationAsync(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
UpdateEvaluationRequest - Class in com.amazonaws.services.machinelearning.model
UpdateEvaluationRequest() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest
UpdateEvaluationRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateEvaluationRequestMarshaller
UpdateEvaluationRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationRequestMarshaller
UpdateEvaluationRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateEvaluationRequest Marshaller
UpdateEvaluationRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationRequestProtocolMarshaller
UpdateEvaluationResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an UpdateEvaluation operation.
UpdateEvaluationResult() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult
UpdateEvaluationResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateEvaluationResult JSON Unmarshaller
UpdateEvaluationResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateEvaluationResultJsonUnmarshaller
updateMLModel(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
updateMLModel(UpdateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Updates the MLModelName and the ScoreThreshold of an MLModel.
updateMLModel(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Updates the MLModelName and the ScoreThreshold of an MLModel.
updateMLModelAsync(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync
updateMLModelAsync(UpdateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the MLModelName and the ScoreThreshold of an MLModel.
updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Updates the MLModelName and the ScoreThreshold of an MLModel.
updateMLModelAsync(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
UpdateMLModelRequest - Class in com.amazonaws.services.machinelearning.model
UpdateMLModelRequest() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest
UpdateMLModelRequestMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateMLModelRequestMarshaller
UpdateMLModelRequestMarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelRequestMarshaller
UpdateMLModelRequestProtocolMarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateMLModelRequest Marshaller
UpdateMLModelRequestProtocolMarshaller(SdkJsonProtocolFactory) - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelRequestProtocolMarshaller
UpdateMLModelResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of an UpdateMLModel operation.
UpdateMLModelResult() - Constructor for class com.amazonaws.services.machinelearning.model.UpdateMLModelResult
UpdateMLModelResultJsonUnmarshaller - Class in com.amazonaws.services.machinelearning.model.transform: UpdateMLModelResult JSON Unmarshaller
UpdateMLModelResultJsonUnmarshaller() - Constructor for class com.amazonaws.services.machinelearning.model.transform.UpdateMLModelResultJsonUnmarshaller

V

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType: Returns an array containing the constants of this enum type, in the order they are declared.

W

waiters() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning
waiters() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning
waiters() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
withAlgorithm(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The algorithm used to train the MLModel.
withAlgorithm(Algorithm) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The algorithm used to train the MLModel.
withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the DataSource that points to the group of observations to predict.
withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the DataSource that points to the group of observations to predict.
withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the DataSource that was used to create the BatchPrediction.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID assigned to the BatchPrediction at creation.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest: A user-supplied ID that uniquely identifies the BatchPrediction.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult: A user-supplied ID that uniquely identifies the BatchPrediction.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest: An ID assigned to the BatchPrediction at creation.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: An ID assigned to the BatchPrediction at creation.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: The ID assigned to the BatchPrediction during creation.
withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult: The ID assigned to the BatchPrediction during creation.
withBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: A user-supplied name or description of the BatchPrediction.
withBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest: A new user-supplied name or description of the BatchPrediction.
withClusterIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException
withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException
withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException
withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException
withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException
withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The compute statistics for a DataSource.
withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The compute statistics for a DataSource.
withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The compute statistics for a DataSource.
withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The parameter is true if statistics need to be generated from the observation data.
withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The parameter is true if statistics need to be generated from the observation data.
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time that the BatchPrediction was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time that the DataSource was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time that the Evaluation was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time when the BatchPrediction was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time that the DataSource was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time that the Evaluation was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time that the MLModel was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The AWS user account that invoked the BatchPrediction.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The AWS user account from which the DataSource was created.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The AWS user account that invoked the evaluation.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The AWS user account that invoked the BatchPrediction.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The AWS user account from which the DataSource was created.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The AWS user account that invoked the evaluation.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The AWS user account from which the MLModel was created.
withDatabase(RDSDatabase) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The database details required to connect to an Amazon RDS.
withDatabaseCredentials(RDSDatabaseCredentials) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.
withDatabaseCredentials(RedshiftDatabaseCredentials) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.
withDatabaseInformation(RDSDatabase) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.
withDatabaseInformation(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.
withDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase
withDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase
withDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata
withDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: The location of the data file(s) used by a DataSource.
withDataPipelineId(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.
withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.
withDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: A JSON string that represents the schema for an Amazon RDS DataSource.
withDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: A JSON string that represents the schema for an Amazon Redshift DataSource.
withDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: A JSON string that represents the schema for an Amazon S3 DataSource.
withDataSchemaLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes the schema location in Amazon S3.
withDataSchemaUri(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location of the DataSchema.
withDataSchemaUri(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema location for an Amazon Redshift DataSource.
withDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The total number of observations contained in the data files that the DataSource references.
withDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The total size of observations in the data files.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied ID that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult: A user-supplied ID that uniquely identifies the datasource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied ID that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult: A user-supplied ID that uniquely identifies the datasource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied identifier that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result: A user-supplied ID that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The ID that is assigned to the DataSource during creation.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest: A user-supplied ID that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult: A user-supplied ID that uniquely identifies the DataSource.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: The ID assigned to the DataSource at creation.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The ID assigned to the DataSource at creation.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: The ID assigned to the DataSource during creation.
withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult: The ID assigned to the DataSource during creation.
withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: A user-supplied name or description of the DataSource.
withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A user-supplied name or description of the DataSource.
withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: A user-supplied name or description of the DataSource.
withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest: A new user-supplied name or description of the DataSource that will replace the current description.
withDataSourceSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The schema used by all of the data files of this DataSource.
withDataSpec(RedshiftDataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: The data specification of an Amazon Redshift DataSource:
withDataSpec(S3DataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request: The data specification of a DataSource:
withDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction
withEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
withEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current endpoint of the MLModel.
withEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel.
withEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel.
withEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
withEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The equal to operator.
withEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The equal to operator.
withEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The equal to operator.
withEQ(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The equal to operator.
withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the DataSource for the evaluation.
withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the DataSource that is used to evaluate the MLModel.
withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The DataSource used for this evaluation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult: The user-supplied ID that uniquely identifies the Evaluation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest: A user-supplied ID that uniquely identifies the Evaluation to delete.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult: A user-supplied ID that uniquely identifies the Evaluation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID that is assigned to the Evaluation at creation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest: The ID of the Evaluation to retrieve.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The evaluation ID which is same as the EvaluationId in the request.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: The ID assigned to the Evaluation during creation.
withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult: The ID assigned to the Evaluation during creation.
withEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: A user-supplied name or description of the Evaluation.
withEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest: A new user-supplied name or description of the Evaluation that will replace the current content.
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction:
withFilterVariable(BatchPredictionFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction:
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource:
withFilterVariable(DataSourceFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource:
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects:
withFilterVariable(EvaluationFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects:
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel:
withFilterVariable(MLModelFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel:
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel
withGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than or equal to operator.
withGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than or equal to operator.
withGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than or equal to operator.
withGE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than or equal to operator.
withGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The greater than operator.
withGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The greater than operator.
withGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The greater than operator.
withGT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The greater than operator.
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withInstanceIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase: The ID of an RDS DB instance.
withInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
withInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.
withKey(String) - Method in class com.amazonaws.services.machinelearning.model.Tag: A unique identifier for the tag.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The time of the most recent edit to the BatchPrediction.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The time of the most recent edit to the BatchPrediction.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The time of the most recent edit to the Evaluation.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The time of the most recent edit to BatchPrediction.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The time of the most recent edit to the DataSource.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The time of the most recent edit to the Evaluation.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the MLModel.
withLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than or equal to operator.
withLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than or equal to operator.
withLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than or equal to operator.
withLE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than or equal to operator.
withLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The number of pages of information to include in the result.
withLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The maximum number of DataSource to include in the result.
withLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The maximum number of Evaluation to include in the result.
withLimit(Integer) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The number of pages of information to include in the result.
withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A link to the file that contains logs of the CreateBatchPrediction operation.
withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A link to the file containing logs of CreateDataSourceFrom* operations.
withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A link to the file that contains logs of the CreateEvaluation operation.
withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
withLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The less than operator.
withLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The less than operator.
withLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The less than operator.
withLT(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The less than operator.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A description of the most recent details about processing the batch prediction request.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A description of the most recent details about creating the DataSource.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A description of the most recent details about evaluating the MLModel.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A description of the most recent details about processing the batch prediction request.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The user-supplied description of the most recent details about creating the DataSource.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A description of the most recent details about evaluating the MLModel.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A description of the most recent details about accessing the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The ID of the MLModel that generated predictions for the BatchPrediction request.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The ID of the MLModel that will generate predictions for the group of observations.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest: The ID of the MLModel to evaluate.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest: The ID assigned to the MLModel during creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: A user-supplied ID that uniquely identifies the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The ID of the MLModel that is the focus of the evaluation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The ID of the MLModel that generated predictions for the BatchPrediction request.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The ID of the MLModel that was the focus of the evaluation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID assigned to the MLModel at creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ID assigned to the MLModel during creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult: The ID assigned to the MLModel during creation.
withMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A user-supplied name or description of the MLModel.
withMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: A user-supplied name or description of the MLModel.
withMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The category of supervised learning that this MLModel will address.
withMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The category of supervised learning that this MLModel will address.
withMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
withMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
withMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Identifies the MLModel category.
withMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Identifies the MLModel category.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: A user-supplied name or description of the BatchPrediction.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: A user-supplied name or description of the DataSource.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: A user-supplied name or description of the Evaluation.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: A user-supplied name or description of the BatchPrediction.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: A user-supplied name or description of the DataSource.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: A user-supplied name or description of the Evaluation.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A user-supplied name or description of the MLModel.
withNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: The not equal to operator.
withNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The not equal to operator.
withNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The not equal to operator.
withNE(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The not equal to operator.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: An ID of the page in the paginated results.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: The ID of the page in the paginated results.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: An ID of the next page in the paginated results that indicates at least one more page follows.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: The ID of the page in the paginated results.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: The ID of the page in the paginated results.
withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: The ID of the next page in the paginated results that indicates at least one more page follows.
withNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The number of data files referenced by the DataSource.
withNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The number of data files referenced by the DataSource.
withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The location of an Amazon S3 bucket or directory to receive the operation results.
withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest: The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.
withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The location of an Amazon S3 bucket or directory to receive the operation results.
withParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A list of the training parameters in the MLModel.
withPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
withPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
withPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
withPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: Measurements of how well the MLModel performed, using observations referenced by the DataSource.
withPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: Measurements of how well the MLModel performed using observations referenced by the DataSource.
withPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
withPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction
withPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
withPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
withPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult
withPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A string that is found at the beginning of a variable, such as Name or Id.
withPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A string that is found at the beginning of a variable, such as Name or Id.
withPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A string that is found at the beginning of a variable, such as Name or Id.
withPrefix(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A string that is found at the beginning of a variable, such as Name or Id.
withProperties(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics
withRDSData(RDSDataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The data specification of an Amazon RDS DataSource:
withRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
withRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult: The endpoint information of the MLModel
withRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult: The endpoint information of the MLModel
withRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The data recipe for creating the MLModel.
withRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
withRecipeUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.
withRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
withRedshiftDatabase(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata
withRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The ID of the ML object to tag.
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The ID of the ML object that was tagged.
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The ID of the tagged ML object.
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The ID of the ML object from which tags were deleted.
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The ID of the ML object.
withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The ID of the tagged ML object.
withResourceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.
withResourceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The type of the ML object to tag.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The type of the ML object to tag.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The type of the ML object that was tagged.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult: The type of the ML object that was tagged.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The type of the tagged ML object.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: The type of the tagged ML object.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The type of the ML object from which tags were deleted.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult: The type of the ML object from which tags were deleted.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The type of the ML object.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest: The type of the ML object.
withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The type of the tagged ML object.
withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: The type of the tagged ML object.
withResults(BatchPrediction...) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: A list of BatchPrediction objects that meet the search criteria.
withResults(Collection<BatchPrediction>) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult: A list of BatchPrediction objects that meet the search criteria.
withResults(DataSource...) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: A list of DataSource that meet the search criteria.
withResults(Collection<DataSource>) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult: A list of DataSource that meet the search criteria.
withResults(Evaluation...) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: A list of Evaluation that meet the search criteria.
withResults(Collection<Evaluation>) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult: A list of Evaluation that meet the search criteria.
withResults(MLModel...) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: A list of MLModel that meet the search criteria.
withResults(Collection<MLModel>) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult: A list of MLModel that meet the search criteria.
withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest: The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.
withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest: A fully specified role Amazon Resource Name (ARN).
withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult
withS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The Amazon S3 location for staging Amazon RDS data.
withS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.
withSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.MLModel
withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest: The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.
withScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
withScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The time of the most recent edit to the ScoreThreshold.
withSecurityGroupIds(String...) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The security group IDs to be used to access a VPC-based RDS DB instance.
withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The security group IDs to be used to access a VPC-based RDS DB instance.
withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The query that is used to retrieve the observation data for the DataSource.
withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The SQL query that is supplied during CreateDataSourceFromRDS.
withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.
withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: The SQL query that is specified during CreateDataSourceFromRedshift.
withServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
withServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel
withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A two-value parameter that determines the sequence of the resulting list of MLModels.
withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: A two-value parameter that determines the sequence of the resulting list of MLModels.
withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A two-value parameter that determines the sequence of the resulting list of DataSource.
withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: A two-value parameter that determines the sequence of the resulting list of DataSource.
withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A two-value parameter that determines the sequence of the resulting list of Evaluation.
withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: A two-value parameter that determines the sequence of the resulting list of Evaluation.
withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A two-value parameter that determines the sequence of the resulting list of MLModel.
withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: A two-value parameter that determines the sequence of the resulting list of MLModel.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The status of the BatchPrediction.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction: The status of the BatchPrediction.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The current status of the DataSource.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.DataSource: The current status of the DataSource.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The status of the evaluation.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.Evaluation: The status of the evaluation.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values:
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values:
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The current status of the DataSource.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The current status of the DataSource.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The status of the evaluation.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult: The status of the evaluation.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current status of an MLModel.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The current status of an MLModel.
withSubnetId(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec: The subnet ID to be used to access a VPC-based RDS DB instance.
withTagKeys(String...) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: One or more tags to delete.
withTagKeys(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest: One or more tags to delete.
withTags(Tag...) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The key-value pairs to use to create tags.
withTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest: The key-value pairs to use to create tags.
withTags(Tag...) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: A list of tags associated with the ML object.
withTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult: A list of tags associated with the ML object.
withTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction
withTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.
withTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: The DataSource that points to the training data.
withTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
withTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: The ID of the training DataSource.
withTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
withTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A list of the training parameters in the MLModel.
withUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials
withUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials
withValue(String) - Method in class com.amazonaws.services.machinelearning.model.Tag: An optional string, typically used to describe or define the tag.
withVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest: Specifies whether the GetDataSource operation should return DataSourceSchema.
withVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

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