Index (AWS Java SDK for Amazon Machine Learning 1.10.4.1 API)

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

A

addDetailsEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides any additional details regarding the prediction.
addParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest: A list of the training parameters in the MLModel.
addPredictedScoresEntry(String, Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides the raw classification score corresponding to each label.
addPropertiesEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics: Sets the value of the Properties property for this object.
addRecordEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A map of variable name-value pairs that represent an observation.
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.MLModel: A list of the training parameters in the MLModel.
Algorithm - Enum in com.amazonaws.services.machinelearning.model: Algorithm
AmazonMachineLearning - Interface in com.amazonaws.services.machinelearning: Interface for accessing AmazonMachineLearning.
AmazonMachineLearningAsync - Interface in com.amazonaws.services.machinelearning: Interface for accessing AmazonMachineLearning asynchronously.
AmazonMachineLearningAsyncClient - Class in com.amazonaws.services.machinelearning: Asynchronous client for accessing AmazonMachineLearning.
AmazonMachineLearningAsyncClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning.
AmazonMachineLearningAsyncClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning.
AmazonMachineLearningAsyncClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning 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 AmazonMachineLearning 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 AmazonMachineLearning 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 AmazonMachineLearning using the specified AWS account credentials provider.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and executor service.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.
AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, executor service, and client configuration options.
AmazonMachineLearningClient - Class in com.amazonaws.services.machinelearning: Client for accessing AmazonMachineLearning.
AmazonMachineLearningClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning.
AmazonMachineLearningClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning.
AmazonMachineLearningClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning 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 AmazonMachineLearning 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 AmazonMachineLearning 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 AmazonMachineLearning 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 AmazonMachineLearning 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: Batch Prediction Filter Variable

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: Synchronous and asynchronous client classes for accessing AmazonMachineLearning.
com.amazonaws.services.machinelearning.model - package com.amazonaws.services.machinelearning.model: Classes modeling the various types represented by AmazonMachineLearning.
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 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: Generates predictions for a group of observations.
createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Generates predictions for a group of observations.
CreateBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateBatchPrediction operation.
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 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 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: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
CreateDataSourceFromRDSRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateDataSourceFromRDS operation.
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 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 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: Creates a DataSource from Amazon Redshift .
createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest, CreateDataSourceFromRedshiftResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a DataSource from Amazon Redshift .
CreateDataSourceFromRedshiftRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateDataSourceFromRedshift operation.
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 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 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: Creates a DataSource object.
createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a DataSource object.
CreateDataSourceFromS3Request - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateDataSourceFromS3 operation.
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 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 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: Creates a new Evaluation of an MLModel .
createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a new Evaluation of an MLModel .
CreateEvaluationRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateEvaluation operation.
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 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 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: Creates a new MLModel using the data files and the recipe as information sources.
createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a new MLModel using the data files and the recipe as information sources.
CreateMLModelRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateMLModel operation.
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 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 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: Creates a real-time endpoint for the MLModel .
createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Creates a real-time endpoint for the MLModel .
CreateRealtimeEndpointRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the CreateRealtimeEndpoint operation.
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: Data Source Filter Variable
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 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: Assigns the DELETED status to a BatchPrediction , rendering it unusable.
deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Assigns the DELETED status to a BatchPrediction , rendering it unusable.
DeleteBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DeleteBatchPrediction operation.
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 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 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: Assigns the DELETED status to a DataSource , rendering it unusable.
deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Assigns the DELETED status to a DataSource , rendering it unusable.
DeleteDataSourceRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DeleteDataSource operation.
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 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 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: Assigns the DELETED status to an Evaluation , rendering it unusable.
deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Assigns the DELETED status to an Evaluation , rendering it unusable.
DeleteEvaluationRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DeleteEvaluation operation.
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 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 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: Assigns the DELETED status to an MLModel , rendering it unusable.
deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Assigns the DELETED status to an MLModel , rendering it unusable.
DeleteMLModelRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DeleteMLModel operation.
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 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 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: Deletes a real time endpoint of an MLModel .
deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Deletes a real time endpoint of an MLModel .
DeleteRealtimeEndpointRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DeleteRealtimeEndpoint operation.
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 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: Returns a list of BatchPrediction operations that match the search criteria in the request.
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: Returns a list of BatchPrediction operations that match the search criteria in the request.
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(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of BatchPrediction operations that match the search criteria in the request.
describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of BatchPrediction operations that match the search criteria in the request.
DescribeBatchPredictionsRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DescribeBatchPredictions operation.
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 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: Returns a list of DataSource that match the search criteria in the request.
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: Returns a list of DataSource that match the search criteria in the request.
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(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of DataSource that match the search criteria in the request.
describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of DataSource that match the search criteria in the request.
DescribeDataSourcesRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DescribeDataSources operation.
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 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: Returns a list of DescribeEvaluations that match the search criteria in the request.
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: Returns a list of DescribeEvaluations that match the search criteria in the request.
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(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of DescribeEvaluations that match the search criteria in the request.
describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of DescribeEvaluations that match the search criteria in the request.
DescribeEvaluationsRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DescribeEvaluations operation.
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 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: Returns a list of MLModel that match the search criteria in the request.
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: Returns a list of MLModel that match the search criteria in the request.
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(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of MLModel that match the search criteria in the request.
describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a list of MLModel that match the search criteria in the request.
DescribeMLModelsRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the DescribeMLModels operation.
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: Details Attributes

E

EntityStatus - Enum in com.amazonaws.services.machinelearning.model: Entity Status
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: Evaluation Filter Variable

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 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 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: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
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: Container for the parameters to the GetBatchPrediction operation.
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 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: The ID of an Amazon Redshift cluster.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException: Returns the value of the Code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException: Returns the value of the Code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException: Returns the value of the Code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException: Returns the value of the Code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Returns the value of the Code property for this object.
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: The name of a database hosted on an RDS DB instance.
getDatabaseName() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase: The name of a database hosted on an Amazon Redshift cluster.
getDatabaseUserName() - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
getDatabaseUserName() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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.
getDataSchema() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema for an Amazon Redshift DataSource.
getDataSchema() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes 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 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 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: 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 class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource .
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: Container for the parameters to the GetDataSource operation.
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: Provides any additional details regarding the 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 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 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: Returns an Evaluation that includes metadata as well as the current status of the Evaluation .
getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns an Evaluation that includes metadata as well as the current status of the Evaluation .
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: Container for the parameters to the GetEvaluation operation.
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 async client to execute requests.
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction: CreatedAt - Sets the search criteria to the BatchPrediction creation date. Status - Sets the search criteria to the BatchPrediction status. Name - Sets the search criteria to the contents of the BatchPrediction Name. IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction. DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction.
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource: CreatedAt - Sets the search criteria to DataSource creation dates. Status - Sets the search criteria to DataSource statuses. Name - Sets the search criteria to the contents of DataSource Name. DataUri - Sets the search criteria to the URI of data files used to create the DataSource.
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects: CreatedAt - Sets the search criteria to the Evaluation creation date. Status - Sets the search criteria to the Evaluation status. Name - Sets the search criteria to the contents of Evaluation Name. IAMUser - Sets the search criteria to the user account that invoked an Evaluation. MLModelId - Sets the search criteria to the MLModel that was evaluated. DataSourceId - Sets the search criteria to the DataSource used in Evaluation. DataUri - Sets the search criteria to the data file(s) used in Evaluation.
getFilterVariable() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel: CreatedAt - Sets the search criteria to MLModel creation date. Status - Sets the search criteria to MLModel status. Name - Sets the search criteria to the contents of MLModel Name. IAMUser - Sets the search criteria to the user account that invoked the MLModel creation. TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel. RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status. MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class. Algorithm - Sets the search criteria to the algorithm that the MLModel uses. TrainingDataURI - Sets the search criteria to the data file(s) used in training a 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 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 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: 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 class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
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: Container for the parameters to the GetMLModel operation.
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: The password to be used by Amazon ML to connect to a database on an RDS DB instance.
getPassword() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A password to be used by Amazon ML to connect to a database on an Amazon Redshift cluster.
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: Provides the raw classification score corresponding to each label.
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: Returns the value of the PredictEndpoint property for this object.
getPrediction() - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
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: Returns the value of the Properties property for this object.
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: The datasource details that are specific to Amazon RDS.
getRDSMetadata() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The datasource details that are specific to Amazon RDS.
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: A map of variable name-value pairs that represent an observation.
getRedshiftDatabase() - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: Describes the database details required to connect to an Amazon Redshift database.
getRedshiftMetadata() - Method in class com.amazonaws.services.machinelearning.model.DataSource: Describes the DataSource details specific to Amazon Redshift.
getRedshiftMetadata() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: Describes the DataSource details specific to Amazon Redshift.
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: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
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: Returns the value of the ScoreThreshold property for this object.
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: Long integer type that is a 64-bit signed number.
getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.MLModel: Long integer type that is a 64-bit signed number.
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: PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS - The batch predictions are in progress. FAILED - The request to perform a batch prediction did not run to completion.
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: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
getUsername() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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 AmazonMachineLearning 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: M L Model Filter Variable
MLModelType - Enum in com.amazonaws.services.machinelearning.model: M L Model Type

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 interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Generates a prediction for the observation using the specified MLModel .
predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Generates a prediction for the observation using the specified MLModel .
predictAsync(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates a prediction for the observation using the specified MLModel .
predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync: Generates a prediction for the observation using the specified MLModel .
predictAsync(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Generates a prediction for the observation using the specified MLModel .
predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Generates a prediction for the observation using the specified MLModel .
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: Container for the parameters to the Predict operation.
PredictRequest() - Constructor for class com.amazonaws.services.machinelearning.model.PredictRequest
PredictResult - Class in com.amazonaws.services.machinelearning.model: Predict Result
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: Realtime Endpoint Status
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: The ID of an Amazon Redshift cluster.
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException: Sets the value of the Code property for this object.
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException: Sets the value of the Code property for this object.
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException: Sets the value of the Code property for this object.
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException: Sets the value of the Code property for this object.
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Sets the value of the Code property for this object.
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: The name of a database hosted on an RDS DB instance.
setDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase: The name of a database hosted on an Amazon Redshift cluster.
setDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
setDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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.
setDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema for an Amazon Redshift DataSource.
setDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes 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: Provides any additional details regarding the prediction.
setEndpoint(String) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com").
setEndpoint(String) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
setEndpoint(String, String, String) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
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: CreatedAt - Sets the search criteria to the BatchPrediction creation date. Status - Sets the search criteria to the BatchPrediction status. Name - Sets the search criteria to the contents of the BatchPrediction Name. IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction. DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction.
setFilterVariable(BatchPredictionFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction: CreatedAt - Sets the search criteria to the BatchPrediction creation date. Status - Sets the search criteria to the BatchPrediction status. Name - Sets the search criteria to the contents of the BatchPrediction Name. IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction. DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction.
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource: CreatedAt - Sets the search criteria to DataSource creation dates. Status - Sets the search criteria to DataSource statuses. Name - Sets the search criteria to the contents of DataSource Name. DataUri - Sets the search criteria to the URI of data files used to create the DataSource.
setFilterVariable(DataSourceFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource: CreatedAt - Sets the search criteria to DataSource creation dates. Status - Sets the search criteria to DataSource statuses. Name - Sets the search criteria to the contents of DataSource Name. DataUri - Sets the search criteria to the URI of data files used to create the 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: CreatedAt - Sets the search criteria to the Evaluation creation date. Status - Sets the search criteria to the Evaluation status. Name - Sets the search criteria to the contents of Evaluation Name. IAMUser - Sets the search criteria to the user account that invoked an Evaluation. MLModelId - Sets the search criteria to the MLModel that was evaluated. DataSourceId - Sets the search criteria to the DataSource used in Evaluation. DataUri - Sets the search criteria to the data file(s) used in Evaluation.
setFilterVariable(EvaluationFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects: CreatedAt - Sets the search criteria to the Evaluation creation date. Status - Sets the search criteria to the Evaluation status. Name - Sets the search criteria to the contents of Evaluation Name. IAMUser - Sets the search criteria to the user account that invoked an Evaluation. MLModelId - Sets the search criteria to the MLModel that was evaluated. DataSourceId - Sets the search criteria to the DataSource used in Evaluation. DataUri - Sets the search criteria to the data file(s) used in Evaluation.
setFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel: CreatedAt - Sets the search criteria to MLModel creation date. Status - Sets the search criteria to MLModel status. Name - Sets the search criteria to the contents of MLModel Name. IAMUser - Sets the search criteria to the user account that invoked the MLModel creation. TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel. RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status. MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class. Algorithm - Sets the search criteria to the algorithm that the MLModel uses. TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel.
setFilterVariable(MLModelFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel: CreatedAt - Sets the search criteria to MLModel creation date. Status - Sets the search criteria to MLModel status. Name - Sets the search criteria to the contents of MLModel Name. IAMUser - Sets the search criteria to the user account that invoked the MLModel creation. TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel. RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status. MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class. Algorithm - Sets the search criteria to the algorithm that the MLModel uses. TrainingDataURI - Sets the search criteria to the data file(s) used in training a 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: The password to be used by Amazon ML to connect to a database on an RDS DB instance.
setPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A password to be used by Amazon ML to connect to a database on an Amazon Redshift cluster.
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: Provides the raw classification score corresponding to each label.
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: Sets the value of the PredictEndpoint property for this object.
setPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
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: Sets the value of the Properties property for this object.
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: The datasource details that are specific to Amazon RDS.
setRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The datasource details that are specific to Amazon RDS.
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: A map of variable name-value pairs that represent an observation.
setRedshiftDatabase(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: Describes the database details required to connect to an Amazon Redshift database.
setRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource: Describes the DataSource details specific to Amazon Redshift.
setRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: Describes the DataSource details specific to Amazon Redshift.
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: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
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: Sets the value of the ScoreThreshold property for this object.
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: Long integer type that is a 64-bit signed number.
setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Long integer type that is a 64-bit signed number.
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: PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS - The batch predictions are in progress. FAILED - The request to perform a batch prediction did not run to completion.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values: PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS - The batch predictions are in progress. FAILED - The request to perform a batch prediction did not run to completion.
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: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
setUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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 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: Sort Order

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 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 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: Updates the BatchPredictionName of a BatchPrediction .
updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Updates the BatchPredictionName of a BatchPrediction .
UpdateBatchPredictionRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the UpdateBatchPrediction operation.
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 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 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: Updates the DataSourceName of a DataSource .
updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Updates the DataSourceName of a DataSource .
UpdateDataSourceRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the UpdateDataSource operation.
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 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 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: Updates the EvaluationName of an Evaluation .
updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Updates the EvaluationName of an Evaluation .
UpdateEvaluationRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the UpdateEvaluation operation.
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 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 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: Updates the MLModelName and the ScoreThreshold of an MLModel .
updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient: Updates the MLModelName and the ScoreThreshold of an MLModel .
UpdateMLModelRequest - Class in com.amazonaws.services.machinelearning.model: Container for the parameters to the UpdateMLModel operation.
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: The ID of an Amazon Redshift cluster.
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: The name of a database hosted on an RDS DB instance.
withDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase: The name of a database hosted on an Amazon Redshift cluster.
withDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSMetadata: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
withDatabaseUserName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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.
withDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec: Describes the schema for an Amazon Redshift DataSource.
withDataSchema(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec: Describes 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: Provides any additional details regarding the 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: CreatedAt - Sets the search criteria to the BatchPrediction creation date. Status - Sets the search criteria to the BatchPrediction status. Name - Sets the search criteria to the contents of the BatchPrediction Name. IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction. DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction.
withFilterVariable(BatchPredictionFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsRequest: Use one of the following variables to filter a list of BatchPrediction: CreatedAt - Sets the search criteria to the BatchPrediction creation date. Status - Sets the search criteria to the BatchPrediction status. Name - Sets the search criteria to the contents of the BatchPrediction Name. IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction. DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction.
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource: CreatedAt - Sets the search criteria to DataSource creation dates. Status - Sets the search criteria to DataSource statuses. Name - Sets the search criteria to the contents of DataSource Name. DataUri - Sets the search criteria to the URI of data files used to create the DataSource.
withFilterVariable(DataSourceFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesRequest: Use one of the following variables to filter a list of DataSource: CreatedAt - Sets the search criteria to DataSource creation dates. Status - Sets the search criteria to DataSource statuses. Name - Sets the search criteria to the contents of DataSource Name. DataUri - Sets the search criteria to the URI of data files used to create the 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: CreatedAt - Sets the search criteria to the Evaluation creation date. Status - Sets the search criteria to the Evaluation status. Name - Sets the search criteria to the contents of Evaluation Name. IAMUser - Sets the search criteria to the user account that invoked an Evaluation. MLModelId - Sets the search criteria to the MLModel that was evaluated. DataSourceId - Sets the search criteria to the DataSource used in Evaluation. DataUri - Sets the search criteria to the data file(s) used in Evaluation.
withFilterVariable(EvaluationFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsRequest: Use one of the following variable to filter a list of Evaluation objects: CreatedAt - Sets the search criteria to the Evaluation creation date. Status - Sets the search criteria to the Evaluation status. Name - Sets the search criteria to the contents of Evaluation Name. IAMUser - Sets the search criteria to the user account that invoked an Evaluation. MLModelId - Sets the search criteria to the MLModel that was evaluated. DataSourceId - Sets the search criteria to the DataSource used in Evaluation. DataUri - Sets the search criteria to the data file(s) used in Evaluation.
withFilterVariable(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel: CreatedAt - Sets the search criteria to MLModel creation date. Status - Sets the search criteria to MLModel status. Name - Sets the search criteria to the contents of MLModel Name. IAMUser - Sets the search criteria to the user account that invoked the MLModel creation. TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel. RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status. MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class. Algorithm - Sets the search criteria to the algorithm that the MLModel uses. TrainingDataURI - Sets the search criteria to the data file(s) used in training a MLModel.
withFilterVariable(MLModelFilterVariable) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsRequest: Use one of the following variables to filter a list of MLModel: CreatedAt - Sets the search criteria to MLModel creation date. Status - Sets the search criteria to MLModel status. Name - Sets the search criteria to the contents of MLModel Name. IAMUser - Sets the search criteria to the user account that invoked the MLModel creation. TrainingDataSourceId - Sets the search criteria to the DataSource used to train one or more MLModel. RealtimeEndpointStatus - Sets the search criteria to the MLModel real-time endpoint status. MLModelType - Sets the search criteria to MLModel type: binary, regression, or multi-class. Algorithm - Sets the search criteria to the algorithm that the MLModel uses. TrainingDataURI - Sets the search criteria to the data file(s) used in training a 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: The password to be used by Amazon ML to connect to a database on an RDS DB instance.
withPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A password to be used by Amazon ML to connect to a database on an Amazon Redshift cluster.
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: Provides the raw classification score corresponding to each label.
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: Sets the value of the PredictEndpoint property for this object.
withPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
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: Sets the value of the Properties property for this object.
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: The datasource details that are specific to Amazon RDS.
withRDSMetadata(RDSMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The datasource details that are specific to Amazon RDS.
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: A map of variable name-value pairs that represent an observation.
withRedshiftDatabase(RedshiftDatabase) - Method in class com.amazonaws.services.machinelearning.model.RedshiftMetadata: Describes the database details required to connect to an Amazon Redshift database.
withRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.DataSource: Describes the DataSource details specific to Amazon Redshift.
withRedshiftMetadata(RedshiftMetadata) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: Describes the DataSource details specific to Amazon Redshift.
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: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult: The Amazon Resource Name (ARN) of an AWS IAM Role such as the following: arn:aws:iam::account:role/rolename.
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: Sets the value of the ScoreThreshold property for this object.
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: Long integer type that is a 64-bit signed number.
withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.MLModel: Long integer type that is a 64-bit signed number.
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: PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS - The batch predictions are in progress. FAILED - The request to perform a batch prediction did not run to completion.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult: The status of the BatchPrediction, which can be one of the following values: PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS - The batch predictions are in progress. FAILED - The request to perform a batch prediction did not run to completion.
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: The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
withUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials: A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
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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