Serialized Form (AWS Java SDK for Amazon Machine Learning 1.10.2 API)

Package com.amazonaws.services.machinelearning.model
- Class com.amazonaws.services.machinelearning.model.BatchPrediction extends Object implements Serializable
  - Serialized Fields
    - batchPredictionId
```
String batchPredictionId
```
      The ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - mLModelId
```
String mLModelId
```
      The ID of the MLModel that generated predictions for the BatchPrediction request.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - batchPredictionDataSourceId
```
String batchPredictionDataSourceId
```
      The ID of the DataSource that points to the group of observations to predict.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - inputDataLocationS3
```
String inputDataLocationS3
```
      The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
      Constraints:
      Length: 0 - 2048
      Pattern: s3://([^/]+)(/.*)?
    - createdByIamUser
```
String createdByIamUser
```
      The AWS user account that invoked the BatchPrediction. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
      Constraints:
      Pattern: arn:aws:iam::[0-9]+:((user/.+)|(root))
    - createdAt
```
Date createdAt
```
      The time that the BatchPrediction was created. The time is expressed in epoch time.
    - lastUpdatedAt
```
Date lastUpdatedAt
```
      The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.
    - name
```
String name
```
      A user-supplied name or description of the BatchPrediction.
      Constraints:
      Length: 0 - 1024
      Pattern: .*\S.*|^$
    - status
```
String status
```
      The status of the BatchPrediction. This element can have one of the following values:
      
      PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations.
      
      INPROGRESS - The process is underway.
      
      FAILED - The request to peform a batch prediction did not run to completion. It is not usable.
      
      COMPLETED - The batch prediction process completed successfully.
      
      DELETED - The BatchPrediction is marked as deleted. It is not usable.
      
      Constraints:
      Allowed Values: PENDING, INPROGRESS, FAILED, COMPLETED, DELETED
    - outputUri
```
String outputUri
```
      The location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key portion of the "outputURI" field: ':', '//', '/./', '/../'.
      Constraints:
      Length: 0 - 2048
      Pattern: s3://([^/]+)(/.*)?
    - message
```
String message
```
      A description of the most recent details about processing the batch prediction request.
      Constraints:
      Length: 0 - 10240
- Class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - batchPredictionId
```
String batchPredictionId
```
      A user-supplied ID that uniquely identifies the BatchPrediction.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - batchPredictionName
```
String batchPredictionName
```
      A user-supplied name or description of the BatchPrediction. BatchPredictionName can only use the UTF-8 character set.
      Constraints:
      Length: 0 - 1024
      Pattern: .*\S.*|^$
    - mLModelId
```
String mLModelId
```
      The ID of the MLModel that will generate predictions for the group of observations.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - batchPredictionDataSourceId
```
String batchPredictionDataSourceId
```
      The ID of the DataSource that points to the group of observations to predict.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - outputUri
```
String outputUri
```
      The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key portion of the "outputURI" field: ':', '//', '/./', '/../'.
      Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.
      Constraints:
      Length: 0 - 2048
      Pattern: s3://([^/]+)(/.*)?
- Class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult extends Object implements Serializable
  - Serialized Fields
    - batchPredictionId
```
String batchPredictionId
```
      A user-supplied ID that uniquely identifies the BatchPrediction. This value is identical to the value of the BatchPredictionId in the request.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
- Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - dataSourceId
```
String dataSourceId
```
      A user-supplied ID that uniquely identifies the DataSource. Typically, an Amazon Resource Number (ARN) becomes the ID for a DataSource.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - dataSourceName
```
String dataSourceName
```
      A user-supplied name or description of the DataSource.
      Constraints:
      Length: 0 - 1024
      Pattern: .*\S.*|^$
    - rDSData
```
RDSDataSpec rDSData
```
      The data specification of an Amazon RDS DataSource:
      
      DatabaseInformation -
      
      DatabaseName - Name of the Amazon RDS database.
      
      InstanceIdentifier - Unique identifier for the Amazon RDS database instance.
      
      DatabaseCredentials - AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon RDS database.
      
      ResourceRole - Role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (EC2) instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines.
      
      ServiceRole - Role (DataPipelineDefaultRole) assumed by the AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon Simple Storage Service (S3). For more information, see Role templates for data pipelines.
      
      SecurityInfo - Security information to use to access an Amazon RDS instance. You need to set up appropriate ingress rules for the security entity IDs provided to allow access to the Amazon RDS instance. Specify a [SubnetId, SecurityGroupIds] pair for a VPC-based Amazon RDS instance.
      
      SelectSqlQuery - Query that is used to retrieve the observation data for the Datasource.
      
      S3StagingLocation - Amazon S3 location for staging RDS data. The data retrieved from Amazon RDS using SelectSqlQuery is stored in this location.
      
      DataSchemaUri - Amazon S3 location of the DataSchema.
      
      DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.
      
      DataRearrangement - A JSON string representing the splitting requirement of a Datasource.
      
      Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
    - roleARN
```
String roleARN
```
      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.
      
      Constraints:
      Length: 1 - 100
    - computeStatistics
```
Boolean computeStatistics
```
      The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

Serialized Form

Package com.amazonaws.services.machinelearning.model

Class com.amazonaws.services.machinelearning.model.BatchPrediction extends Object implements Serializable

Serialized Fields

batchPredictionId

mLModelId

batchPredictionDataSourceId

inputDataLocationS3

createdByIamUser

createdAt

lastUpdatedAt

name

status

outputUri

message

Class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

batchPredictionId

batchPredictionName

mLModelId

batchPredictionDataSourceId

outputUri

Class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult extends Object implements Serializable

Serialized Fields

batchPredictionId

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

dataSourceId

dataSourceName

rDSData

roleARN

computeStatistics

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult extends Object implements Serializable

Serialized Fields

dataSourceId

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

dataSourceId

dataSourceName

dataSpec

roleARN

computeStatistics

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult extends Object implements Serializable

Serialized Fields

dataSourceId

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request extends AmazonWebServiceRequest implements Serializable

Serialized Fields

dataSourceId

dataSourceName

dataSpec

computeStatistics

Class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result extends Object implements Serializable

Serialized Fields

dataSourceId

Class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

evaluationId

evaluationName

mLModelId

evaluationDataSourceId

Class com.amazonaws.services.machinelearning.model.CreateEvaluationResult extends Object implements Serializable

Serialized Fields

evaluationId

Class com.amazonaws.services.machinelearning.model.CreateMLModelRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

mLModelId

mLModelName

mLModelType

parameters

trainingDataSourceId

recipe

recipeUri

Class com.amazonaws.services.machinelearning.model.CreateMLModelResult extends Object implements Serializable

Serialized Fields

mLModelId

Class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

mLModelId

Class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult extends Object implements Serializable

Serialized Fields