A B C D E F G H I J 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

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 a 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

Interface 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.

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.

B

BatchPrediction - Class in com.amazonaws.services.machinelearning.model

Represents the output of GetBatchPrediction operation.

BatchPrediction() - Constructor for class com.amazonaws.services.machinelearning.model.BatchPrediction

BatchPredictionFilterVariable - Enum in com.amazonaws.services.machinelearning.model

A list of the variables to use in searching or filtering BatchPrediction.

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.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.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.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.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

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

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 Amazon Redshift.

createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a DataSource from Amazon Redshift.

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 Amazon Redshift.

createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest, CreateDataSourceFromRedshiftResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource from Amazon Redshift.

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 data files and the recipe as information sources.

createMLModel(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a new MLModel using the data files 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 data files 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 data files 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

DataSourceFilterVariable - Enum in com.amazonaws.services.machinelearning.model

A list of the variables to use in searching or filtering DataSource.

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

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.

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.

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.

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.

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

DetailsAttributes - Enum in com.amazonaws.services.machinelearning.model

Contains the key values of DetailsMap: PredictiveModelType - Indicates the type of the MLModel.

E

EntityStatus - Enum in com.amazonaws.services.machinelearning.model

Entity status with the following possible values:

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.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.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.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

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.

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.

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 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 requirement of a Datasource.

getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

A JSON string that captures the splitting rearrangement requirement of the DataSource.

getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

DataRearrangement - A JSON string that represents the splitting requirement of a DataSource.

getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the splitting specifications for a DataSource.

getDataRearrangement() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the splitting requirement of 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:

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.

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 BatchPrediction.

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 containining logs of either create DataSource operation.

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 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

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, and data source information as well as the current status of the MLModel.

getMLModel(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns an MLModel that includes detailed metadata, and data source information as well as 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, and data source information as well as 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, and data source information as well as 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 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

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.

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 MLModels, and marks the boundary between a positive prediction and a negative prediction.

getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.MLModel

getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

getScoreThresholdLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The time of the most recent edit to the ScoreThreshold.

getScoreThresholdLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.MLModel

The time of the most recent edit to the ScoreThreshold.

getSecurityGroupIds() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The security group IDs to be used to access a VPC-based RDS DB instance.

getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The query that is used to retrieve the observation data for the DataSource.

getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The SQL query that is supplied during CreateDataSourceFromRDS.

getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.

getSelectSqlQuery() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata

The SQL query that is specified during CreateDataSourceFromRedshift.

getServiceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

getServiceRole() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.MLModel

getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest

A two-value parameter that determines the sequence of the resulting list of MLModels.

getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest

A two-value parameter that determines the sequence of the resulting list of DataSource.

getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest

A two-value parameter that determines the sequence of the resulting list of Evaluation.

getSortOrder() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

A two-value parameter that determines the sequence of the resulting list of MLModel.

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.

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

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.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.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.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.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.

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.

J

jsonErrorUnmarshallers - Variable in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

List of exception unmarshallers for all Amazon Machine Learning exceptions.

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

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.

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 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 requirement of a Datasource.

setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

A JSON string that captures the splitting rearrangement requirement of the DataSource.

setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

DataRearrangement - A JSON string that represents the splitting requirement of a DataSource.

setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the splitting specifications for a DataSource.

setDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the splitting requirement of 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:

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.

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 BatchPrediction.

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 containining logs of either create DataSource operation.

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 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

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 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.

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.

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 MLModels, and marks the boundary between a positive prediction and a negative prediction.

setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.MLModel

setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

setScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The time of the most recent edit to the ScoreThreshold.

setScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel

The time of the most recent edit to the ScoreThreshold.

setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The security group IDs to be used to access a VPC-based RDS DB instance.

setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The query that is used to retrieve the observation data for the DataSource.

setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The SQL query that is supplied during CreateDataSourceFromRDS.

setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.

setSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata

The SQL query that is specified during CreateDataSourceFromRedshift.

setServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

setServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel

setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest

A two-value parameter that determines the sequence of the resulting list of MLModels.

setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest

A two-value parameter that determines the sequence of the resulting list of MLModels.

setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest

A two-value parameter that determines the sequence of the resulting list of DataSource.

setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest

A two-value parameter that determines the sequence of the resulting list of DataSource.

setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest

A two-value parameter that determines the sequence of the resulting list of Evaluation.

setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest

A two-value parameter that determines the sequence of the resulting list of Evaluation.

setSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

A two-value parameter that determines the sequence of the resulting list of MLModel.

setSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

A two-value parameter that determines the sequence of the resulting list of MLModel.

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.

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

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.

T

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.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 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.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.

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.

W

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.

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 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 requirement of a Datasource.

withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

A JSON string that captures the splitting rearrangement requirement of the DataSource.

withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

DataRearrangement - A JSON string that represents the splitting requirement of a DataSource.

withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the splitting specifications for a DataSource.

withDataRearrangement(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the splitting requirement of 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:

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.

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 BatchPrediction.

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 containining logs of either create DataSource operation.

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 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

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 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

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.

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 MLModels, and marks the boundary between a positive prediction and a negative prediction.

withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.MLModel

withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelRequest

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

withScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The time of the most recent edit to the ScoreThreshold.

withScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.MLModel

The time of the most recent edit to the ScoreThreshold.

withSecurityGroupIds(String...) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The security group IDs to be used to access a VPC-based RDS DB instance.

withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The security group IDs to be used to access a VPC-based RDS DB instance.

withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The query that is used to retrieve the observation data for the DataSource.

withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The SQL query that is supplied during CreateDataSourceFromRDS.

withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift DataSource.

withSelectSqlQuery(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata

The SQL query that is specified during CreateDataSourceFromRedshift.

withServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

withServiceRole(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata

The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.

withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel

withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest

A two-value parameter that determines the sequence of the resulting list of MLModels.

withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest

A two-value parameter that determines the sequence of the resulting list of MLModels.

withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest

A two-value parameter that determines the sequence of the resulting list of DataSource.

withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest

A two-value parameter that determines the sequence of the resulting list of DataSource.

withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest

A two-value parameter that determines the sequence of the resulting list of Evaluation.

withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest

A two-value parameter that determines the sequence of the resulting list of Evaluation.

withSortOrder(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

A two-value parameter that determines the sequence of the resulting list of MLModel.

withSortOrder(SortOrder) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest

A two-value parameter that determines the sequence of the resulting list of MLModel.

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.

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

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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