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
AddTagsResult - Class in com.amazonaws.services.machinelearning.model
  Amazon ML returns the following elements.
AddTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.AddTagsResult
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.MLModel
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
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning.
AmazonMachineLearningAsyncClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning.
AmazonMachineLearningAsyncClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials.
AmazonMachineLearningAsyncClient(AWSCredentials, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials and executor service.
AmazonMachineLearningAsyncClient(AWSCredentials, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials, executor service, and client configuration options.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the provided AWS account credentials provider and client configuration options.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider and executor service.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient
  Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider, executor service, and client configuration options.
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
  Constructs a new client to invoke service methods on Amazon Machine Learning.
AmazonMachineLearningClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning.
AmazonMachineLearningClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials.
AmazonMachineLearningClient(AWSCredentials, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider.
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration, RequestMetricCollector) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider, client configuration options, and request metric collector.
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

## 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`.
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.

## 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.model - package com.amazonaws.services.machinelearning.model
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
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
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
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
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
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
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
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
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
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
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
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
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
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

## 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`.
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
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
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
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
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
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
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
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
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
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
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
DeleteTagsResult - Class in com.amazonaws.services.machinelearning.model
  Amazon ML returns the following elements.
DeleteTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DeleteTagsResult
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
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
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
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
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
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
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
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
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
DescribeTagsResult - Class in com.amazonaws.services.machinelearning.model
  Amazon ML returns the following elements.
DescribeTagsResult() - Constructor for class com.amazonaws.services.machinelearning.model.DescribeTagsResult
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`.

## 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
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
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
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
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
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
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).
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
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
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 `MLModel`s.
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

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
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
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
Prediction - Class in com.amazonaws.services.machinelearning.model
  The output from a `Predict` operation:
Prediction() - Constructor for class com.amazonaws.services.machinelearning.model.Prediction
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
PredictResult - Class in com.amazonaws.services.machinelearning.model
PredictResult() - Constructor for class com.amazonaws.services.machinelearning.model.PredictResult

## R

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
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
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
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
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
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
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
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
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
  Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com").
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
  An alternative to `AmazonMachineLearning.setEndpoint(String)`, sets the regional endpoint for this client's service calls.
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 `MLModel`s.
setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
  A two-value parameter that determines the sequence of the resulting list of `MLModel`s.
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.
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
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.
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

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
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
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
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
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
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
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
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

## 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 `MLModel`s.
withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest
  A two-value parameter that determines the sequence of the resulting list of `MLModel`s.
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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