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

A

AbstractAmazonMachineLearning - Class in com.amazonaws.services.machinelearning

Abstract implementation of AmazonMachineLearning.

AbstractAmazonMachineLearning() - Constructor for class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

AbstractAmazonMachineLearningAsync - Class in com.amazonaws.services.machinelearning

Abstract implementation of AmazonMachineLearningAsync.

AbstractAmazonMachineLearningAsync() - Constructor for class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

addDetailsEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.Prediction

addParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

addPredictedScoresEntry(String, Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction

addPropertiesEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

addRecordEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

addTags(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

addTags(AddTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Adds one or more tags to an object, up to a limit of 10.

addTags(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Adds one or more tags to an object, up to a limit of 10.

addTagsAsync(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

addTagsAsync(AddTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Adds one or more tags to an object, up to a limit of 10.

addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Adds one or more tags to an object, up to a limit of 10.

addTagsAsync(AddTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

addTagsAsync(AddTagsRequest, AsyncHandler<AddTagsRequest, AddTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Amazon ML returns the following elements.

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

addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.MLModel

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

The function used to train an MLModel.

AmazonMachineLearning - Interface in com.amazonaws.services.machinelearning

Interface for accessing Amazon Machine Learning.

AmazonMachineLearningAsync - Interface in com.amazonaws.services.machinelearning

Interface for accessing Amazon Machine Learning asynchronously.

AmazonMachineLearningAsyncClient - Class in com.amazonaws.services.machinelearning

Client for accessing Amazon Machine Learning asynchronously.

AmazonMachineLearningAsyncClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning.

AmazonMachineLearningAsyncClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning.

AmazonMachineLearningAsyncClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials.

AmazonMachineLearningAsyncClient(AWSCredentials, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials and executor service.

AmazonMachineLearningAsyncClient(AWSCredentials, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials, executor service, and client configuration options.

AmazonMachineLearningAsyncClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider.

AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the provided AWS account credentials provider and client configuration options.

AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider and executor service.

AmazonMachineLearningAsyncClient(AWSCredentialsProvider, ClientConfiguration, ExecutorService) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Constructs a new asynchronous client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider, executor service, and client configuration options.

AmazonMachineLearningAsyncClientBuilder - Class in com.amazonaws.services.machinelearning

Fluent builder for AmazonMachineLearningAsync.

AmazonMachineLearningClient - Class in com.amazonaws.services.machinelearning

Client for accessing Amazon Machine Learning.

AmazonMachineLearningClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning.

AmazonMachineLearningClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning.

AmazonMachineLearningClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials.

AmazonMachineLearningClient(AWSCredentials, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials and client configuration options.

AmazonMachineLearningClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider.

AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider and client configuration options.

AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration, RequestMetricCollector) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Constructs a new client to invoke service methods on Amazon Machine Learning using the specified AWS account credentials provider, client configuration options, and request metric collector.

AmazonMachineLearningClientBuilder - Class in com.amazonaws.services.machinelearning

Fluent builder for AmazonMachineLearning.

AmazonMachineLearningException - Exception in com.amazonaws.services.machinelearning.model

Base exception for all service exceptions thrown by Amazon Machine Learning

AmazonMachineLearningException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.AmazonMachineLearningException

Constructs a new AmazonMachineLearningException with the specified error message.

AmazonMachineLearningWaiters - Class in com.amazonaws.services.machinelearning.waiters

AmazonMachineLearningWaiters(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters

Constructs a new AmazonMachineLearningWaiters with the given client

apply(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeBatchPredictionsFunction

Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result

apply(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeDataSourcesFunction

Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result

apply(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeEvaluationsFunction

Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result

apply(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.waiters.DescribeMLModelsFunction

Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result

B

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

Represents the output of a GetBatchPrediction operation.

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

batchPredictionAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters

Builds a BatchPredictionAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

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

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

build(AwsAsyncClientParams) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder

Construct an asynchronous implementation of AmazonMachineLearningAsync using the current builder configuration.

build(AwsSyncClientParams) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder

Construct a synchronous implementation of AmazonMachineLearning using the current builder configuration.

C

clearDetailsEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction

Removes all the entries added into Details.

clearParametersEntries() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

Removes all the entries added into Parameters.

clearPredictedScoresEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction

Removes all the entries added into PredictedScores.

clearPropertiesEntries() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

Removes all the entries added into Properties.

clearRecordEntries() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

Removes all the entries added into Record.

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

Removes all the entries added into TrainingParameters.

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

Removes all the entries added into TrainingParameters.

clone() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

clone() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DataSource

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

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

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

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

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

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

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

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

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

clone() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

clone() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

clone() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

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

clone() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

clone() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

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

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

clone() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

clone() - Method in class com.amazonaws.services.machinelearning.model.Prediction

clone() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.PredictResult

clone() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

clone() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

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

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

clone() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

clone() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

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

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

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

clone() - Method in class com.amazonaws.services.machinelearning.model.Tag

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

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

clone() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

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

Definition of the public APIs exposed by Amazon Machine Learning

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

com.amazonaws.services.machinelearning.waiters - package com.amazonaws.services.machinelearning.waiters

configFactory - Static variable in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Client configuration factory providing ClientConfigurations tailored to this client

createBatchPrediction(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

createBatchPrediction(CreateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Generates predictions for a group of observations.

createBatchPrediction(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Generates predictions for a group of observations.

createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Generates predictions for a group of observations.

createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Generates predictions for a group of observations.

createBatchPredictionAsync(CreateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createBatchPredictionAsync(CreateBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest, CreateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a CreateBatchPrediction operation, and is an acknowledgement that Amazon ML received the request.

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

createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).

createDataSourceFromRDS(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest, CreateDataSourceFromRDSResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML received the request.

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

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

createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a DataSource from a database hosted on an Amazon Redshift cluster.

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

Creates a DataSource from a database hosted on an Amazon Redshift cluster.

createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

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

createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource from a database hosted on an Amazon Redshift cluster.

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

Creates a DataSource from a database hosted on an Amazon Redshift cluster.

createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

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

Represents the output of a CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon ML received the request.

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

createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a DataSource object.

createDataSourceFromS3(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a DataSource object.

createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource object.

createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a DataSource object.

createDataSourceFromS3Async(CreateDataSourceFromS3Request) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createDataSourceFromS3Async(CreateDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request, CreateDataSourceFromS3Result>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

CreateDataSourceFromS3Request - Class in com.amazonaws.services.machinelearning.model

CreateDataSourceFromS3Request() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

CreateDataSourceFromS3Result - Class in com.amazonaws.services.machinelearning.model

Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request.

CreateDataSourceFromS3Result() - Constructor for class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

createEvaluation(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

createEvaluation(CreateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a new Evaluation of an MLModel.

createEvaluation(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a new Evaluation of an MLModel.

createEvaluationAsync(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createEvaluationAsync(CreateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a new Evaluation of an MLModel.

createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a new Evaluation of an MLModel.

createEvaluationAsync(CreateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createEvaluationAsync(CreateEvaluationRequest, AsyncHandler<CreateEvaluationRequest, CreateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request.

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

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

createMLModel(CreateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a new MLModel using the DataSource and the recipe as information sources.

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

Creates a new MLModel using the DataSource and the recipe as information sources.

createMLModelAsync(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createMLModelAsync(CreateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a new MLModel using the DataSource and the recipe as information sources.

createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a new MLModel using the DataSource and the recipe as information sources.

createMLModelAsync(CreateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createMLModelAsync(CreateMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request.

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

createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Creates a real-time endpoint for the MLModel.

createRealtimeEndpoint(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Creates a real-time endpoint for the MLModel.

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a real-time endpoint for the MLModel.

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Creates a real-time endpoint for the MLModel.

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

createRealtimeEndpointAsync(CreateRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest, CreateRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an CreateRealtimeEndpoint operation.

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

D

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

Represents the output of the GetDataSource operation.

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

dataSourceAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters

Builds a DataSourceAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

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

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

defaultClient() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder

defaultClient() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder

deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

deleteBatchPrediction(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

deleteBatchPredictionAsync(DeleteBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteBatchPredictionAsync(DeleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest, DeleteBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a DeleteBatchPrediction operation.

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

deleteDataSource(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteDataSource(DeleteDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Assigns the DELETED status to a DataSource, rendering it unusable.

deleteDataSource(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Assigns the DELETED status to a DataSource, rendering it unusable.

deleteDataSourceAsync(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteDataSourceAsync(DeleteDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to a DataSource, rendering it unusable.

deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to a DataSource, rendering it unusable.

deleteDataSourceAsync(DeleteDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteDataSourceAsync(DeleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest, DeleteDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a DeleteDataSource operation.

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

deleteEvaluation(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteEvaluation(DeleteEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Assigns the DELETED status to an Evaluation, rendering it unusable.

deleteEvaluation(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Assigns the DELETED status to an Evaluation, rendering it unusable.

deleteEvaluationAsync(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteEvaluationAsync(DeleteEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to an Evaluation, rendering it unusable.

deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to an Evaluation, rendering it unusable.

deleteEvaluationAsync(DeleteEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteEvaluationAsync(DeleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest, DeleteEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a DeleteEvaluation operation.

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

deleteMLModel(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteMLModel(DeleteMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Assigns the DELETED status to an MLModel, rendering it unusable.

deleteMLModel(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Assigns the DELETED status to an MLModel, rendering it unusable.

deleteMLModelAsync(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteMLModelAsync(DeleteMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to an MLModel, rendering it unusable.

deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Assigns the DELETED status to an MLModel, rendering it unusable.

deleteMLModelAsync(DeleteMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteMLModelAsync(DeleteMLModelRequest, AsyncHandler<DeleteMLModelRequest, DeleteMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of a DeleteMLModel operation.

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

deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Deletes a real time endpoint of an MLModel.

deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Deletes a real time endpoint of an MLModel.

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Deletes a real time endpoint of an MLModel.

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Deletes a real time endpoint of an MLModel.

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest, DeleteRealtimeEndpointResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an DeleteRealtimeEndpoint operation.

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

deleteTags(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

deleteTags(DeleteTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Deletes the specified tags associated with an ML object.

deleteTags(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Deletes the specified tags associated with an ML object.

deleteTagsAsync(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

deleteTagsAsync(DeleteTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Deletes the specified tags associated with an ML object.

deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Deletes the specified tags associated with an ML object.

deleteTagsAsync(DeleteTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

deleteTagsAsync(DeleteTagsRequest, AsyncHandler<DeleteTagsRequest, DeleteTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Amazon ML returns the following elements.

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

describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeBatchPredictions() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a list of BatchPrediction operations that match the search criteria in the request.

describeBatchPredictions() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Simplified method form for invoking the DescribeBatchPredictions operation.

describeBatchPredictions(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a list of BatchPrediction operations that match the search criteria in the request.

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

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeBatchPredictionsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeBatchPredictions operation.

describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of BatchPrediction operations that match the search criteria in the request.

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of BatchPrediction operations that match the search criteria in the request.

describeBatchPredictionsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeBatchPredictions operation.

describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeBatchPredictionsAsync(DescribeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeBatchPredictionsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeBatchPredictions operation.

describeBatchPredictionsAsync(AsyncHandler<DescribeBatchPredictionsRequest, DescribeBatchPredictionsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeBatchPredictions operation with an AsyncHandler.

DescribeBatchPredictionsFunction - Class in com.amazonaws.services.machinelearning.waiters

DescribeBatchPredictionsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeBatchPredictionsFunction

Constructs a new DescribeBatchPredictionsFunction with the given client

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

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

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

Represents the output of a DescribeBatchPredictions operation.

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

describeDataSources(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeDataSources() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeDataSources(DescribeDataSourcesRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a list of DataSource that match the search criteria in the request.

describeDataSources() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Simplified method form for invoking the DescribeDataSources operation.

describeDataSources(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a list of DataSource that match the search criteria in the request.

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

describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeDataSourcesAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeDataSources operation.

describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.

describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of DataSource that match the search criteria in the request.

describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of DataSource that match the search criteria in the request.

describeDataSourcesAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeDataSources operation.

describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.

describeDataSourcesAsync(DescribeDataSourcesRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeDataSourcesAsync(DescribeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeDataSourcesAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeDataSources operation.

describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest, DescribeDataSourcesResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.

DescribeDataSourcesFunction - Class in com.amazonaws.services.machinelearning.waiters

DescribeDataSourcesFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeDataSourcesFunction

Constructs a new DescribeDataSourcesFunction with the given client

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

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

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

Represents the query results from a DescribeDataSources operation.

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

describeEvaluations(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeEvaluations() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeEvaluations(DescribeEvaluationsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a list of DescribeEvaluations that match the search criteria in the request.

describeEvaluations() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Simplified method form for invoking the DescribeEvaluations operation.

describeEvaluations(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a list of DescribeEvaluations that match the search criteria in the request.

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

describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeEvaluationsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeEvaluations operation.

describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.

describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of DescribeEvaluations that match the search criteria in the request.

describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of DescribeEvaluations that match the search criteria in the request.

describeEvaluationsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeEvaluations operation.

describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.

describeEvaluationsAsync(DescribeEvaluationsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeEvaluationsAsync(DescribeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeEvaluationsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeEvaluations operation.

describeEvaluationsAsync(AsyncHandler<DescribeEvaluationsRequest, DescribeEvaluationsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeEvaluations operation with an AsyncHandler.

DescribeEvaluationsFunction - Class in com.amazonaws.services.machinelearning.waiters

DescribeEvaluationsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeEvaluationsFunction

Constructs a new DescribeEvaluationsFunction with the given client

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

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

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

Represents the query results from a DescribeEvaluations operation.

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

describeMLModels(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeMLModels() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeMLModels(DescribeMLModelsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a list of MLModel that match the search criteria in the request.

describeMLModels() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Simplified method form for invoking the DescribeMLModels operation.

describeMLModels(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a list of MLModel that match the search criteria in the request.

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

describeMLModelsAsync(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeMLModelsAsync() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeMLModels operation.

describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.

describeMLModelsAsync(DescribeMLModelsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of MLModel that match the search criteria in the request.

describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a list of MLModel that match the search criteria in the request.

describeMLModelsAsync() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeMLModels operation.

describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.

describeMLModelsAsync(DescribeMLModelsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeMLModelsAsync(DescribeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeMLModelsAsync() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeMLModels operation.

describeMLModelsAsync(AsyncHandler<DescribeMLModelsRequest, DescribeMLModelsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Simplified method form for invoking the DescribeMLModels operation with an AsyncHandler.

DescribeMLModelsFunction - Class in com.amazonaws.services.machinelearning.waiters

DescribeMLModelsFunction(AmazonMachineLearning) - Constructor for class com.amazonaws.services.machinelearning.waiters.DescribeMLModelsFunction

Constructs a new DescribeMLModelsFunction with the given client

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

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

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

Represents the output of a DescribeMLModels operation.

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

describeTags(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

describeTags(DescribeTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Describes one or more of the tags for your Amazon ML object.

describeTags(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Describes one or more of the tags for your Amazon ML object.

describeTagsAsync(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

describeTagsAsync(DescribeTagsRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Describes one or more of the tags for your Amazon ML object.

describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Describes one or more of the tags for your Amazon ML object.

describeTagsAsync(DescribeTagsRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

describeTagsAsync(DescribeTagsRequest, AsyncHandler<DescribeTagsRequest, DescribeTagsResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Amazon ML returns the following elements.

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

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

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

E

ENDPOINT_PREFIX - Static variable in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

The region metadata service name for computing region endpoints.

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

Object status with the following possible values:

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DataSource

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

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

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Prediction

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

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

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

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

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

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Tag

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

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

equals(Object) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

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

Represents the output of GetEvaluation operation.

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

evaluationAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters

Builds a EvaluationAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

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

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

F

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder

Use this in place of valueOf.

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType

Use this in place of valueOf.

G

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

The algorithm used to train the MLModel.

getBatchPrediction(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

getBatchPrediction(GetBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

getBatchPrediction(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

getBatchPredictionAsync(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getBatchPredictionAsync(GetBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

getBatchPredictionAsync(GetBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getBatchPredictionAsync(GetBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest, GetBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the DataSource that points to the group of observations to predict.

getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the DataSource that points to the group of observations to predict.

getBatchPredictionDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the DataSource that was used to create the BatchPrediction.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID assigned to the BatchPrediction at creation.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

An ID assigned to the BatchPrediction at creation.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

An ID assigned to the BatchPrediction at creation.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

The ID assigned to the BatchPrediction during creation.

getBatchPredictionId() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

The ID assigned to the BatchPrediction during creation.

getBatchPredictionName() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied name or description of the BatchPrediction.

getBatchPredictionName() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

A new user-supplied name or description of the BatchPrediction.

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

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

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

Represents the output of a GetBatchPrediction operation and describes a BatchPrediction.

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

getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

getCachedResponseMetadata(AmazonWebServiceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected.

getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns additional metadata for a previously executed successful, request, typically used for debugging issues where a service isn't acting as expected.

getClusterIdentifier() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

getCode() - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException

getCode() - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException

getCode() - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException

getCode() - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException

getCode() - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException

getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The compute statistics for a DataSource.

getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

The compute statistics for a DataSource.

getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The compute statistics for a DataSource.

getComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The parameter is true if statistics need to be generated from the observation data.

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

The parameter is true if statistics need to be generated from the observation data.

getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.DataSource

getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.

getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.

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

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time that the BatchPrediction was created.

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time that the DataSource was created.

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time that the Evaluation was created.

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time when the BatchPrediction was created.

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

The time that the DataSource was created.

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time that the Evaluation was created.

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

The time that the MLModel was created.

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

The time that the MLModel was created.

getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The time that the request to create the real-time endpoint for the MLModel was received.

getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The AWS user account that invoked the BatchPrediction.

getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The AWS user account from which the DataSource was created.

getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The AWS user account that invoked the evaluation.

getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The AWS user account that invoked the BatchPrediction.

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

The AWS user account from which the DataSource was created.

getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The AWS user account that invoked the evaluation.

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

The AWS user account from which the MLModel was created.

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

The AWS user account from which the MLModel was created.

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

The database details required to connect to an Amazon RDS.

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

The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.

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

Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.

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

Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.

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

Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.

getDatabaseName() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

getDatabaseName() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

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

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

getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

The location of the data file(s) used by a DataSource.

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

The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the schema for an Amazon RDS DataSource.

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

A JSON string that represents the schema for an Amazon Redshift DataSource.

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

A JSON string that represents the schema for an Amazon S3 DataSource.

getDataSchemaLocationS3() - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the schema location in Amazon S3.

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

The Amazon S3 location of the DataSchema.

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

Describes the schema location for an Amazon Redshift DataSource.

getDataSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The total number of observations contained in the data files that the DataSource references.

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

The total size of observations in the data files.

getDataSource(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

getDataSource(GetDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

getDataSource(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

getDataSourceAsync(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getDataSourceAsync(GetDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

getDataSourceAsync(GetDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getDataSourceAsync(GetDataSourceRequest, AsyncHandler<GetDataSourceRequest, GetDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied ID that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

A user-supplied ID that uniquely identifies the datasource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied ID that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

A user-supplied ID that uniquely identifies the datasource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied identifier that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

A user-supplied ID that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The ID that is assigned to the DataSource during creation.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

A user-supplied ID that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

A user-supplied ID that uniquely identifies the DataSource.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

The ID assigned to the DataSource at creation.

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

The ID assigned to the DataSource at creation.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

The ID assigned to the DataSource during creation.

getDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

The ID assigned to the DataSource during creation.

getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied name or description of the DataSource.

getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied name or description of the DataSource.

getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied name or description of the DataSource.

getDataSourceName() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

A new user-supplied name or description of the DataSource that will replace the current description.

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

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

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

Represents the output of a GetDataSource operation and describes a DataSource.

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

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

The schema used by all of the data files of this DataSource.

getDataSpec() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

The data specification of an Amazon Redshift DataSource:

getDataSpec() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The data specification of a DataSource:

getDetails() - Method in class com.amazonaws.services.machinelearning.model.Prediction

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

The current endpoint of the MLModel

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

The current endpoint of the MLModel.

getEndpointStatus() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The current status of the real-time endpoint for the MLModel.

getEndpointUrl() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The URI that specifies where to send real-time prediction requests for the MLModel.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

getEvaluation(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

getEvaluation(GetEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

getEvaluation(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

getEvaluationAsync(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getEvaluationAsync(GetEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

getEvaluationAsync(GetEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getEvaluationAsync(GetEvaluationRequest, AsyncHandler<GetEvaluationRequest, GetEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the DataSource for the evaluation.

getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the DataSource that is used to evaluate the MLModel.

getEvaluationDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The DataSource used for this evaluation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

The user-supplied ID that uniquely identifies the Evaluation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation to delete.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

A user-supplied ID that uniquely identifies the Evaluation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID that is assigned to the Evaluation at creation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

The ID of the Evaluation to retrieve.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The evaluation ID which is same as the EvaluationId in the request.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

The ID assigned to the Evaluation during creation.

getEvaluationId() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

The ID assigned to the Evaluation during creation.

getEvaluationName() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied name or description of the Evaluation.

getEvaluationName() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

A new user-supplied name or description of the Evaluation that will replace the current content.

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

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

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

Represents the output of a GetEvaluation operation and describes an Evaluation.

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

getExecutorService() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Returns the executor service used by this client to execute async requests.

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

Use one of the following variables to filter a list of BatchPrediction:

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

Use one of the following variables to filter a list of DataSource:

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

Use one of the following variable to filter a list of Evaluation objects:

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

Use one of the following variables to filter a list of MLModel:

getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource

getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.

getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.

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

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.MLModel

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

getInstanceIdentifier() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

The ID of an RDS DB instance.

getInvalidRecordCount() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

getInvalidRecordCount() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.

getKey() - Method in class com.amazonaws.services.machinelearning.model.Tag

A unique identifier for the tag.

getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time of the most recent edit to the BatchPrediction.

getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time of the most recent edit to the BatchPrediction.

getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time of the most recent edit to the Evaluation.

getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time of the most recent edit to BatchPrediction.

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

The time of the most recent edit to the DataSource.

getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time of the most recent edit to the Evaluation.

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

The time of the most recent edit to the MLModel.

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

The time of the most recent edit to the MLModel.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The number of pages of information to include in the result.

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

The maximum number of DataSource to include in the result.

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

The maximum number of Evaluation to include in the result.

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

The number of pages of information to include in the result.

getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A link to the file that contains logs of the CreateBatchPrediction operation.

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

A link to the file containing logs of CreateDataSourceFrom* operations.

getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A link to the file that contains logs of the CreateEvaluation operation.

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

A link to the file that contains logs of the CreateMLModel operation.

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

The less than operator.

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

The less than operator.

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

The less than operator.

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

The less than operator.

getMessage() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A description of the most recent details about processing the batch prediction request.

getMessage() - Method in class com.amazonaws.services.machinelearning.model.DataSource

A description of the most recent details about creating the DataSource.

getMessage() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A description of the most recent details about evaluating the MLModel.

getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A description of the most recent details about processing the batch prediction request.

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

The user-supplied description of the most recent details about creating the DataSource.

getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A description of the most recent details about evaluating the MLModel.

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

A description of the most recent details about accessing the MLModel.

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

A description of the most recent details about accessing the MLModel.

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

getMLModel(GetMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

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

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

getMLModelAsync(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

getMLModelAsync(GetMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

getMLModelAsync(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getMLModelAsync(GetMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the MLModel that generated predictions for the BatchPrediction request.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the MLModel that will generate predictions for the group of observations.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the MLModel to evaluate.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the MLModel that is the focus of the evaluation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the MLModel that generated predictions for the BatchPrediction request.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The ID of the MLModel that was the focus of the evaluation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

The ID assigned to the MLModel at creation.

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

The MLModel ID, which is same as the MLModelId in the request.

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

The ID assigned to the MLModel at creation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

A unique identifier of the MLModel.

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

The ID assigned to the MLModel during creation.

getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

The ID assigned to the MLModel during creation.

getMLModelName() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

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

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

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

Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.

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

getMLModelType() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The category of supervised learning that this MLModel will address.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

getName() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A user-supplied name or description of the BatchPrediction.

getName() - Method in class com.amazonaws.services.machinelearning.model.DataSource

A user-supplied name or description of the DataSource.

getName() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A user-supplied name or description of the Evaluation.

getName() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A user-supplied name or description of the BatchPrediction.

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

A user-supplied name or description of the DataSource.

getName() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A user-supplied name or description of the Evaluation.

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

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

An ID of the page in the paginated results.

getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

An ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

getNextToken() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

getNumberOfFiles() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The number of data files referenced by the DataSource.

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

The number of data files referenced by the DataSource.

getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of an Amazon S3 bucket or directory to receive the operation results.

getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.

getOutputUri() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of an Amazon S3 bucket or directory to receive the operation results.

getParameters() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A list of the training parameters in the MLModel.

getPassword() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

getPassword() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

getPeakRequestsPerSecond() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

getPerformanceMetrics() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

Measurements of how well the MLModel performed, using observations referenced by the DataSource.

getPerformanceMetrics() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

Measurements of how well the MLModel performed using observations referenced by the DataSource.

getPredictedLabel() - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction label for either a BINARY or MULTICLASS MLModel.

getPredictedScores() - Method in class com.amazonaws.services.machinelearning.model.Prediction

getPredictedValue() - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction value for REGRESSION MLModel.

getPredictEndpoint() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

getPrediction() - Method in class com.amazonaws.services.machinelearning.model.PredictResult

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

getProperties() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

getRDSData() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The data specification of an Amazon RDS DataSource:

getRDSMetadata() - Method in class com.amazonaws.services.machinelearning.model.DataSource

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

getRealtimeEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

The endpoint information of the MLModel

getRealtimeEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

The endpoint information of the MLModel

getRecipe() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The data recipe for creating the MLModel.

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

The recipe to use when training the MLModel.

getRecipeUri() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.

getRecord() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

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

getRedshiftMetadata() - Method in class com.amazonaws.services.machinelearning.model.DataSource

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

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The ID of the ML object to tag.

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The ID of the ML object that was tagged.

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The ID of the tagged ML object.

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The ID of the ML object from which tags were deleted.

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The ID of the ML object.

getResourceId() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The ID of the tagged ML object.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The type of the ML object to tag.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The type of the ML object that was tagged.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The type of the tagged ML object.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The type of the ML object from which tags were deleted.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The type of the ML object.

getResourceType() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The type of the tagged ML object.

getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

A list of BatchPrediction objects that meet the search criteria.

getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

A list of DataSource that meet the search criteria.

getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

A list of Evaluation that meet the search criteria.

getResults() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

A list of MLModel that meet the search criteria.

getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.

getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A fully specified role Amazon Resource Name (ARN).

getRoleARN() - Method in class com.amazonaws.services.machinelearning.model.DataSource

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

getS3StagingLocation() - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The Amazon S3 location for staging Amazon RDS data.

getS3StagingLocation() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.

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

The schema used by all of the data files referenced by the DataSource.

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

The scoring threshold is used in binary classification MLModel models.

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

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

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

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

The time of the most recent edit to the ScoreThreshold.

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

The time of the most recent edit to the ScoreThreshold.

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

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

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

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

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

The SQL query that is supplied during CreateDataSourceFromRDS.

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

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

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

The SQL query that is specified during CreateDataSourceFromRedshift.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.DataSource

getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.

getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.

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

getStatus() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The status of the BatchPrediction.

getStatus() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The current status of the DataSource.

getStatus() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The status of the evaluation.

getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The status of the BatchPrediction, which can be one of the following values:

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

The current status of the DataSource.

getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The status of the evaluation.

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

The current status of the MLModel.

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

The current status of an MLModel.

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

The subnet ID to be used to access a VPC-based RDS DB instance.

getTagKeys() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

One or more tags to delete.

getTags() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The key-value pairs to use to create tags.

getTags() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

A list of tags associated with the ML object.

getTotalRecordCount() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

getTotalRecordCount() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.

getTrainingDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The DataSource that points to the training data.

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

The ID of the training DataSource.

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

The ID of the training DataSource.

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

A list of the training parameters in the MLModel.

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

A list of the training parameters in the MLModel.

getUsername() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

getUsername() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

getValue() - Method in class com.amazonaws.services.machinelearning.model.Tag

An optional string, typically used to describe or define the tag.

getVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Specifies whether the GetDataSource operation should return DataSourceSchema.

getVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

Specifies whether the GetMLModel operation should return Recipe.

H

hashCode() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DataSource

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

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

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

hashCode() - Method in class com.amazonaws.services.machinelearning.model.Prediction

hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

hashCode() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

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

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

hashCode() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

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

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

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.Tag

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

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

hashCode() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

I

IdempotentParameterMismatchException - Exception in com.amazonaws.services.machinelearning.model

A second request to use or change an object was not allowed.

IdempotentParameterMismatchException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException

Constructs a new IdempotentParameterMismatchException with the specified error message.

InternalServerException - Exception in com.amazonaws.services.machinelearning.model

An error on the server occurred when trying to process a request.

InternalServerException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InternalServerException

Constructs a new InternalServerException with the specified error message.

InvalidInputException - Exception in com.amazonaws.services.machinelearning.model

An error on the client occurred.

InvalidInputException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InvalidInputException

Constructs a new InvalidInputException with the specified error message.

InvalidTagException - Exception in com.amazonaws.services.machinelearning.model

InvalidTagException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InvalidTagException

Constructs a new InvalidTagException with the specified error message.

isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The compute statistics for a DataSource.

isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

The compute statistics for a DataSource.

isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The compute statistics for a DataSource.

isComputeStatistics() - Method in class com.amazonaws.services.machinelearning.model.DataSource

The parameter is true if statistics need to be generated from the observation data.

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

The parameter is true if statistics need to be generated from the observation data.

isVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Specifies whether the GetDataSource operation should return DataSourceSchema.

isVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

Specifies whether the GetMLModel operation should return Recipe.

L

LimitExceededException - Exception in com.amazonaws.services.machinelearning.model

The subscriber exceeded the maximum number of operations.

LimitExceededException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.LimitExceededException

Constructs a new LimitExceededException with the specified error message.

M

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

Represents the output of a GetMLModel operation.

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

mLModelAvailable() - Method in class com.amazonaws.services.machinelearning.waiters.AmazonMachineLearningWaiters

Builds a MLModelAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

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

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

P

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

Measurements of how well the MLModel performed on known observations.

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

predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

predict(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Generates a prediction for the observation using the specified ML Model.

predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Generates a prediction for the observation using the specified ML Model.

predictAsync(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

predictAsync(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Generates a prediction for the observation using the specified ML Model.

predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Generates a prediction for the observation using the specified ML Model.

predictAsync(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

predictAsync(PredictRequest, AsyncHandler<PredictRequest, PredictResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

The output from a Predict operation:

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

PredictorNotMountedException - Exception in com.amazonaws.services.machinelearning.model

The exception is thrown when a predict request is made to an unmounted MLModel.

PredictorNotMountedException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.PredictorNotMountedException

Constructs a new PredictorNotMountedException with the specified error message.

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

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

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

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

R

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

The database details of an Amazon RDS database.

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

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

The database credentials to connect to a database on an RDS DB instance.

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

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

The data specification of an Amazon Relational Database Service (Amazon RDS) DataSource.

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

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

The datasource details that are specific to Amazon RDS.

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

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

Describes the real-time endpoint information for an MLModel.

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

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

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

Describes the database details required to connect to an Amazon Redshift database.

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

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

Describes the database credentials for connecting to a database on an Amazon Redshift cluster.

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

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

Describes the data specification of an Amazon Redshift DataSource.

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

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

Describes the DataSource details specific to Amazon Redshift.

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

ResourceNotFoundException - Exception in com.amazonaws.services.machinelearning.model

A specified resource cannot be located.

ResourceNotFoundException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException

Constructs a new ResourceNotFoundException with the specified error message.

S

S3DataSpec - Class in com.amazonaws.services.machinelearning.model

Describes the data specification of a DataSource.

S3DataSpec() - Constructor for class com.amazonaws.services.machinelearning.model.S3DataSpec

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

The algorithm used to train the MLModel.

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

The algorithm used to train the MLModel.

setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the DataSource that points to the group of observations to predict.

setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the DataSource that points to the group of observations to predict.

setBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the DataSource that was used to create the BatchPrediction.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID assigned to the BatchPrediction at creation.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

An ID assigned to the BatchPrediction at creation.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

An ID assigned to the BatchPrediction at creation.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

The ID assigned to the BatchPrediction during creation.

setBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

The ID assigned to the BatchPrediction during creation.

setBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied name or description of the BatchPrediction.

setBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

A new user-supplied name or description of the BatchPrediction.

setClusterIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException

setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The compute statistics for a DataSource.

setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

The compute statistics for a DataSource.

setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The compute statistics for a DataSource.

setComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The parameter is true if statistics need to be generated from the observation data.

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

The parameter is true if statistics need to be generated from the observation data.

setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.

setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.

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

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time that the BatchPrediction was created.

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time that the DataSource was created.

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time that the Evaluation was created.

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time when the BatchPrediction was created.

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

The time that the DataSource was created.

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time that the Evaluation was created.

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

The time that the MLModel was created.

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

The time that the MLModel was created.

setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The time that the request to create the real-time endpoint for the MLModel was received.

setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The AWS user account that invoked the BatchPrediction.

setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The AWS user account from which the DataSource was created.

setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The AWS user account that invoked the evaluation.

setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The AWS user account that invoked the BatchPrediction.

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

The AWS user account from which the DataSource was created.

setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The AWS user account that invoked the evaluation.

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

The AWS user account from which the MLModel was created.

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

The AWS user account from which the MLModel was created.

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

The database details required to connect to an Amazon RDS.

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

The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.

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

Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.

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

Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.

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

Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.

setDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

setDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

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

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

setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

The location of the data file(s) used by a DataSource.

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

The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the schema for an Amazon RDS DataSource.

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

A JSON string that represents the schema for an Amazon Redshift DataSource.

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

A JSON string that represents the schema for an Amazon S3 DataSource.

setDataSchemaLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the schema location in Amazon S3.

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

The Amazon S3 location of the DataSchema.

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

Describes the schema location for an Amazon Redshift DataSource.

setDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The total number of observations contained in the data files that the DataSource references.

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

The total size of observations in the data files.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied ID that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

A user-supplied ID that uniquely identifies the datasource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied ID that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

A user-supplied ID that uniquely identifies the datasource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied identifier that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

A user-supplied ID that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The ID that is assigned to the DataSource during creation.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

A user-supplied ID that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

A user-supplied ID that uniquely identifies the DataSource.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

The ID assigned to the DataSource at creation.

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

The ID assigned to the DataSource at creation.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

The ID assigned to the DataSource during creation.

setDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

The ID assigned to the DataSource during creation.

setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied name or description of the DataSource.

setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied name or description of the DataSource.

setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied name or description of the DataSource.

setDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

A new user-supplied name or description of the DataSource that will replace the current description.

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

The schema used by all of the data files of this DataSource.

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

The data specification of an Amazon Redshift DataSource:

setDataSpec(S3DataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The data specification of a DataSource:

setDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction

setEndpoint(String) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

setEndpoint(String) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com").

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

The current endpoint of the MLModel

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

The current endpoint of the MLModel.

setEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The current status of the real-time endpoint for the MLModel.

setEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The current status of the real-time endpoint for the MLModel.

setEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The URI that specifies where to send real-time prediction requests for the MLModel.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the DataSource for the evaluation.

setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the DataSource that is used to evaluate the MLModel.

setEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The DataSource used for this evaluation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

The user-supplied ID that uniquely identifies the Evaluation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation to delete.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

A user-supplied ID that uniquely identifies the Evaluation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID that is assigned to the Evaluation at creation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

The ID of the Evaluation to retrieve.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The evaluation ID which is same as the EvaluationId in the request.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

The ID assigned to the Evaluation during creation.

setEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

The ID assigned to the Evaluation during creation.

setEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied name or description of the Evaluation.

setEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

A new user-supplied name or description of the Evaluation that will replace the current content.

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

Use one of the following variables to filter a list of BatchPrediction:

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

Use one of the following variables to filter a list of BatchPrediction:

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

Use one of the following variables to filter a list of DataSource:

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

Use one of the following variables to filter a list of DataSource:

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

Use one of the following variable to filter a list of Evaluation objects:

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

Use one of the following variable to filter a list of Evaluation objects:

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

Use one of the following variables to filter a list of MLModel:

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

Use one of the following variables to filter a list of MLModel:

setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.

setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.

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

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

setInstanceIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

The ID of an RDS DB instance.

setInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

setInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.

setKey(String) - Method in class com.amazonaws.services.machinelearning.model.Tag

A unique identifier for the tag.

setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time of the most recent edit to the BatchPrediction.

setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time of the most recent edit to the BatchPrediction.

setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time of the most recent edit to the Evaluation.

setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time of the most recent edit to BatchPrediction.

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

The time of the most recent edit to the DataSource.

setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time of the most recent edit to the Evaluation.

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

The time of the most recent edit to the MLModel.

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

The time of the most recent edit to the MLModel.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The number of pages of information to include in the result.

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

The maximum number of DataSource to include in the result.

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

The maximum number of Evaluation to include in the result.

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

The number of pages of information to include in the result.

setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A link to the file that contains logs of the CreateBatchPrediction operation.

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

A link to the file containing logs of CreateDataSourceFrom* operations.

setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A link to the file that contains logs of the CreateEvaluation operation.

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

A link to the file that contains logs of the CreateMLModel operation.

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

The less than operator.

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

The less than operator.

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

The less than operator.

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

The less than operator.

setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A description of the most recent details about processing the batch prediction request.

setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

A description of the most recent details about creating the DataSource.

setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A description of the most recent details about evaluating the MLModel.

setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A description of the most recent details about processing the batch prediction request.

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

The user-supplied description of the most recent details about creating the DataSource.

setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A description of the most recent details about evaluating the MLModel.

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

A description of the most recent details about accessing the MLModel.

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

A description of the most recent details about accessing the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the MLModel that generated predictions for the BatchPrediction request.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the MLModel that will generate predictions for the group of observations.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the MLModel to evaluate.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the MLModel that is the focus of the evaluation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the MLModel that generated predictions for the BatchPrediction request.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The ID of the MLModel that was the focus of the evaluation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

The ID assigned to the MLModel at creation.

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

The MLModel ID, which is same as the MLModelId in the request.

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

The ID assigned to the MLModel at creation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

A unique identifier of the MLModel.

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

The ID assigned to the MLModel during creation.

setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

The ID assigned to the MLModel during creation.

setMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

setMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The category of supervised learning that this MLModel will address.

setMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The category of supervised learning that this MLModel will address.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

setName(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A user-supplied name or description of the BatchPrediction.

setName(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

A user-supplied name or description of the DataSource.

setName(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A user-supplied name or description of the Evaluation.

setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A user-supplied name or description of the BatchPrediction.

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

A user-supplied name or description of the DataSource.

setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A user-supplied name or description of the Evaluation.

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

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

An ID of the page in the paginated results.

setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

An ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

setNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

setNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The number of data files referenced by the DataSource.

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

The number of data files referenced by the DataSource.

setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of an Amazon S3 bucket or directory to receive the operation results.

setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.

setOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of an Amazon S3 bucket or directory to receive the operation results.

setParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A list of the training parameters in the MLModel.

setPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

setPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

setPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

setPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

Measurements of how well the MLModel performed, using observations referenced by the DataSource.

setPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

Measurements of how well the MLModel performed using observations referenced by the DataSource.

setPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction label for either a BINARY or MULTICLASS MLModel.

setPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction

setPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction value for REGRESSION MLModel.

setPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

setPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

setProperties(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

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

The data specification of an Amazon RDS DataSource:

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

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

setRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

The endpoint information of the MLModel

setRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

The endpoint information of the MLModel

setRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The data recipe for creating the MLModel.

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

The recipe to use when training the MLModel.

setRecipeUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.

setRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

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

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

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

setRegion(Region) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

setRegion(Region) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

An alternative to AmazonMachineLearning.setEndpoint(String), sets the regional endpoint for this client's service calls.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The ID of the ML object to tag.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The ID of the ML object that was tagged.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The ID of the tagged ML object.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The ID of the ML object from which tags were deleted.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The ID of the ML object.

setResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The ID of the tagged ML object.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The type of the ML object to tag.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The type of the ML object to tag.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The type of the ML object that was tagged.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The type of the ML object that was tagged.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The type of the tagged ML object.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The type of the tagged ML object.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The type of the ML object from which tags were deleted.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The type of the ML object from which tags were deleted.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The type of the ML object.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The type of the ML object.

setResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The type of the tagged ML object.

setResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The type of the tagged ML object.

setResults(Collection<BatchPrediction>) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

A list of BatchPrediction objects that meet the search criteria.

setResults(Collection<DataSource>) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

A list of DataSource that meet the search criteria.

setResults(Collection<Evaluation>) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

A list of Evaluation that meet the search criteria.

setResults(Collection<MLModel>) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

A list of MLModel that meet the search criteria.

setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.

setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A fully specified role Amazon Resource Name (ARN).

setRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

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

setS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The Amazon S3 location for staging Amazon RDS data.

setS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.

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

The schema used by all of the data files referenced by the DataSource.

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

The scoring threshold is used in binary classification MLModel models.

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

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

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

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

The time of the most recent edit to the ScoreThreshold.

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

The time of the most recent edit to the ScoreThreshold.

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

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

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

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

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

The SQL query that is supplied during CreateDataSourceFromRDS.

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

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

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

The SQL query that is specified during CreateDataSourceFromRedshift.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.

setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.

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

setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The status of the BatchPrediction.

setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The status of the BatchPrediction.

setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The current status of the DataSource.

setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The current status of the DataSource.

setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The status of the evaluation.

setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The status of the evaluation.

setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The status of the BatchPrediction, which can be one of the following values:

setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The status of the BatchPrediction, which can be one of the following values:

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

The current status of the DataSource.

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

The current status of the DataSource.

setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The status of the evaluation.

setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The status of the evaluation.

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

The current status of the MLModel.

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

The current status of the MLModel.

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

The current status of an MLModel.

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

The current status of an MLModel.

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

The subnet ID to be used to access a VPC-based RDS DB instance.

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

One or more tags to delete.

setTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The key-value pairs to use to create tags.

setTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

A list of tags associated with the ML object.

setTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

setTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.

setTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The DataSource that points to the training data.

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

The ID of the training DataSource.

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

The ID of the training DataSource.

setTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

A list of the training parameters in the MLModel.

setTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.MLModel

A list of the training parameters in the MLModel.

setUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

setUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

setValue(String) - Method in class com.amazonaws.services.machinelearning.model.Tag

An optional string, typically used to describe or define the tag.

setVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Specifies whether the GetDataSource operation should return DataSourceSchema.

setVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

Specifies whether the GetMLModel operation should return Recipe.

shutdown() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

shutdown() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Shuts down this client object, releasing any resources that might be held open.

shutdown() - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

Shuts down the client, releasing all managed resources.

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

The sort order specified in a listing condition.

standard() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClientBuilder

standard() - Static method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClientBuilder

T

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

A custom key-value pair associated with an ML object, such as an ML model.

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

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

TagLimitExceededException - Exception in com.amazonaws.services.machinelearning.model

TagLimitExceededException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.TagLimitExceededException

Constructs a new TagLimitExceededException with the specified error message.

toString() - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.Algorithm

toString() - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DataSource

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes

toString() - Method in enum com.amazonaws.services.machinelearning.model.EntityStatus

toString() - Method in class com.amazonaws.services.machinelearning.model.Evaluation

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable

toString() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable

toString() - Method in enum com.amazonaws.services.machinelearning.model.MLModelType

toString() - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.Prediction

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.PredictResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus

toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.SortOrder

toString() - Method in class com.amazonaws.services.machinelearning.model.Tag

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

Returns a string representation of this object; useful for testing and debugging.

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

Returns a string representation of this object; useful for testing and debugging.

toString() - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

Returns a string representation of this object; useful for testing and debugging.

U

updateBatchPrediction(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

updateBatchPrediction(UpdateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Updates the BatchPredictionName of a BatchPrediction.

updateBatchPrediction(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Updates the BatchPredictionName of a BatchPrediction.

updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the BatchPredictionName of a BatchPrediction.

updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the BatchPredictionName of a BatchPrediction.

updateBatchPredictionAsync(UpdateBatchPredictionRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

updateBatchPredictionAsync(UpdateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest, UpdateBatchPredictionResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an UpdateBatchPrediction operation.

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

updateDataSource(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

updateDataSource(UpdateDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Updates the DataSourceName of a DataSource.

updateDataSource(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Updates the DataSourceName of a DataSource.

updateDataSourceAsync(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateDataSourceAsync(UpdateDataSourceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the DataSourceName of a DataSource.

updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the DataSourceName of a DataSource.

updateDataSourceAsync(UpdateDataSourceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

updateDataSourceAsync(UpdateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest, UpdateDataSourceResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an UpdateDataSource operation.

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

updateEvaluation(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

updateEvaluation(UpdateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Updates the EvaluationName of an Evaluation.

updateEvaluation(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Updates the EvaluationName of an Evaluation.

updateEvaluationAsync(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateEvaluationAsync(UpdateEvaluationRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the EvaluationName of an Evaluation.

updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the EvaluationName of an Evaluation.

updateEvaluationAsync(UpdateEvaluationRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

updateEvaluationAsync(UpdateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest, UpdateEvaluationResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an UpdateEvaluation operation.

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

updateMLModel(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

updateMLModel(UpdateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Updates the MLModelName and the ScoreThreshold of an MLModel.

updateMLModel(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Updates the MLModelName and the ScoreThreshold of an MLModel.

updateMLModelAsync(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearningAsync

updateMLModelAsync(UpdateMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the MLModelName and the ScoreThreshold of an MLModel.

updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearningAsync

Updates the MLModelName and the ScoreThreshold of an MLModel.

updateMLModelAsync(UpdateMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

updateMLModelAsync(UpdateMLModelRequest, AsyncHandler<UpdateMLModelRequest, UpdateMLModelResult>) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

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

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

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

Represents the output of an UpdateMLModel operation.

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

V

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType

Returns the enum constant of this type with the specified name.

values() - Static method in enum com.amazonaws.services.machinelearning.model.Algorithm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.BatchPredictionFilterVariable

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.DataSourceFilterVariable

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.DetailsAttributes

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.EvaluationFilterVariable

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.MLModelFilterVariable

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.SortOrder

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.amazonaws.services.machinelearning.model.TaggableResourceType

Returns an array containing the constants of this enum type, in the order they are declared.

W

waiters() - Method in class com.amazonaws.services.machinelearning.AbstractAmazonMachineLearning

waiters() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning

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

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

The algorithm used to train the MLModel.

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

The algorithm used to train the MLModel.

withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the DataSource that points to the group of observations to predict.

withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the DataSource that points to the group of observations to predict.

withBatchPredictionDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the DataSource that was used to create the BatchPrediction.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID assigned to the BatchPrediction at creation.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionRequest

A user-supplied ID that uniquely identifies the BatchPrediction.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteBatchPredictionResult

A user-supplied ID that uniquely identifies the BatchPrediction.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionRequest

An ID assigned to the BatchPrediction at creation.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

An ID assigned to the BatchPrediction at creation.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

The ID assigned to the BatchPrediction during creation.

withBatchPredictionId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionResult

The ID assigned to the BatchPrediction during creation.

withBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

A user-supplied name or description of the BatchPrediction.

withBatchPredictionName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateBatchPredictionRequest

A new user-supplied name or description of the BatchPrediction.

withClusterIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.IdempotentParameterMismatchException

withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException

withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException

withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException

withCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException

withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The compute statistics for a DataSource.

withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

The compute statistics for a DataSource.

withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The compute statistics for a DataSource.

withComputeStatistics(Boolean) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The parameter is true if statistics need to be generated from the observation data.

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

The parameter is true if statistics need to be generated from the observation data.

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation, normalized and scaled on computation resources.

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

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.

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

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time that the BatchPrediction was created.

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time that the DataSource was created.

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time that the Evaluation was created.

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time when the BatchPrediction was created.

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

The time that the DataSource was created.

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time that the Evaluation was created.

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

The time that the MLModel was created.

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

The time that the MLModel was created.

withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The time that the request to create the real-time endpoint for the MLModel was received.

withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The AWS user account that invoked the BatchPrediction.

withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The AWS user account from which the DataSource was created.

withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The AWS user account that invoked the evaluation.

withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The AWS user account that invoked the BatchPrediction.

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

The AWS user account from which the DataSource was created.

withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The AWS user account that invoked the evaluation.

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

The AWS user account from which the MLModel was created.

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

The AWS user account from which the MLModel was created.

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

The database details required to connect to an Amazon RDS.

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

The AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.

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

Describes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.

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

Describes the DatabaseName and InstanceIdentifier of an Amazon RDS database.

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

Describes the DatabaseName and ClusterIdentifier for an Amazon Redshift DataSource.

withDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

withDatabaseName(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabase

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

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

withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

The location of the data file(s) used by a DataSource.

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

The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the splitting and rearrangement processing to be applied to a DataSource.

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

A JSON string that represents the schema for an Amazon RDS DataSource.

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

A JSON string that represents the schema for an Amazon Redshift DataSource.

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

A JSON string that represents the schema for an Amazon S3 DataSource.

withDataSchemaLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.S3DataSpec

Describes the schema location in Amazon S3.

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

The Amazon S3 location of the DataSchema.

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

Describes the schema location for an Amazon Redshift DataSource.

withDataSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The total number of observations contained in the data files that the DataSource references.

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

The total size of observations in the data files.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied ID that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSResult

A user-supplied ID that uniquely identifies the datasource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied ID that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftResult

A user-supplied ID that uniquely identifies the datasource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied identifier that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Result

A user-supplied ID that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The ID that is assigned to the DataSource during creation.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceRequest

A user-supplied ID that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteDataSourceResult

A user-supplied ID that uniquely identifies the DataSource.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

The ID assigned to the DataSource at creation.

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

The ID assigned to the DataSource at creation.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

The ID assigned to the DataSource during creation.

withDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceResult

The ID assigned to the DataSource during creation.

withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

A user-supplied name or description of the DataSource.

withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A user-supplied name or description of the DataSource.

withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

A user-supplied name or description of the DataSource.

withDataSourceName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateDataSourceRequest

A new user-supplied name or description of the DataSource that will replace the current description.

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

The schema used by all of the data files of this DataSource.

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

The data specification of an Amazon Redshift DataSource:

withDataSpec(S3DataSpec) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

The data specification of a DataSource:

withDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction

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

The current endpoint of the MLModel

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

The current endpoint of the MLModel.

withEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The current status of the real-time endpoint for the MLModel.

withEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The current status of the real-time endpoint for the MLModel.

withEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The URI that specifies where to send real-time prediction requests for the MLModel.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

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

The equal to operator.

withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the DataSource for the evaluation.

withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the DataSource that is used to evaluate the MLModel.

withEvaluationDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The DataSource used for this evaluation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationResult

The user-supplied ID that uniquely identifies the Evaluation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationRequest

A user-supplied ID that uniquely identifies the Evaluation to delete.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteEvaluationResult

A user-supplied ID that uniquely identifies the Evaluation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID that is assigned to the Evaluation at creation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationRequest

The ID of the Evaluation to retrieve.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The evaluation ID which is same as the EvaluationId in the request.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

The ID assigned to the Evaluation during creation.

withEvaluationId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationResult

The ID assigned to the Evaluation during creation.

withEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

A user-supplied name or description of the Evaluation.

withEvaluationName(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateEvaluationRequest

A new user-supplied name or description of the Evaluation that will replace the current content.

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

Use one of the following variables to filter a list of BatchPrediction:

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

Use one of the following variables to filter a list of BatchPrediction:

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

Use one of the following variables to filter a list of DataSource:

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

Use one of the following variables to filter a list of DataSource:

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

Use one of the following variable to filter a list of Evaluation objects:

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

Use one of the following variable to filter a list of Evaluation objects:

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

Use one of the following variables to filter a list of MLModel:

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

Use one of the following variables to filter a list of MLModel:

withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.

withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as COMPLETED or FAILED.

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

The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.

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

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than or equal to operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

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

The greater than operator.

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.MLModel

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

withInstanceIdentifier(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabase

The ID of an RDS DB instance.

withInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

withInvalidRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.

withKey(String) - Method in class com.amazonaws.services.machinelearning.model.Tag

A unique identifier for the tag.

withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The time of the most recent edit to the BatchPrediction.

withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The time of the most recent edit to the BatchPrediction.

withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The time of the most recent edit to the Evaluation.

withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The time of the most recent edit to BatchPrediction.

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

The time of the most recent edit to the DataSource.

withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The time of the most recent edit to the Evaluation.

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

The time of the most recent edit to the MLModel.

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

The time of the most recent edit to the MLModel.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The less than or equal to operator.

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

The number of pages of information to include in the result.

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

The maximum number of DataSource to include in the result.

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

The maximum number of Evaluation to include in the result.

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

The number of pages of information to include in the result.

withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A link to the file that contains logs of the CreateBatchPrediction operation.

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

A link to the file containing logs of CreateDataSourceFrom* operations.

withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A link to the file that contains logs of the CreateEvaluation operation.

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

A link to the file that contains logs of the CreateMLModel operation.

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

The less than operator.

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

The less than operator.

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

The less than operator.

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

The less than operator.

withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A description of the most recent details about processing the batch prediction request.

withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

A description of the most recent details about creating the DataSource.

withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A description of the most recent details about evaluating the MLModel.

withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A description of the most recent details about processing the batch prediction request.

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

The user-supplied description of the most recent details about creating the DataSource.

withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A description of the most recent details about evaluating the MLModel.

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

A description of the most recent details about accessing the MLModel.

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

A description of the most recent details about accessing the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The ID of the MLModel that generated predictions for the BatchPrediction request.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The ID of the MLModel that will generate predictions for the group of observations.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

The ID of the MLModel to evaluate.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelRequest

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteMLModelResult

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointRequest

The ID assigned to the MLModel during creation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

A user-supplied ID that uniquely identifies the MLModel.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The ID of the MLModel that is the focus of the evaluation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The ID of the MLModel that generated predictions for the BatchPrediction request.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The ID of the MLModel that was the focus of the evaluation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

The ID assigned to the MLModel at creation.

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

The MLModel ID, which is same as the MLModelId in the request.

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

The ID assigned to the MLModel at creation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

A unique identifier of the MLModel.

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

The ID assigned to the MLModel during creation.

withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.UpdateMLModelResult

The ID assigned to the MLModel during creation.

withMLModelName(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

withMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The category of supervised learning that this MLModel will address.

withMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The category of supervised learning that this MLModel will address.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

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

Identifies the MLModel category.

withName(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

A user-supplied name or description of the BatchPrediction.

withName(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

A user-supplied name or description of the DataSource.

withName(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

A user-supplied name or description of the Evaluation.

withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

A user-supplied name or description of the BatchPrediction.

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

A user-supplied name or description of the DataSource.

withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

A user-supplied name or description of the Evaluation.

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

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

The not equal to operator.

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

An ID of the page in the paginated results.

withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

An ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

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

The ID of the page in the paginated results.

withNextToken(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

The ID of the next page in the paginated results that indicates at least one more page follows.

withNumberOfFiles(Long) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The number of data files referenced by the DataSource.

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

The number of data files referenced by the DataSource.

withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The location of an Amazon S3 bucket or directory to receive the operation results.

withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateBatchPredictionRequest

The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results.

withOutputUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The location of an Amazon S3 bucket or directory to receive the operation results.

withParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

A list of the training parameters in the MLModel.

withPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

withPassword(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

withPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

withPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

Measurements of how well the MLModel performed, using observations referenced by the DataSource.

withPerformanceMetrics(PerformanceMetrics) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

Measurements of how well the MLModel performed using observations referenced by the DataSource.

withPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction label for either a BINARY or MULTICLASS MLModel.

withPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction

withPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction

The prediction value for REGRESSION MLModel.

withPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

withPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

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

A string that is found at the beginning of a variable, such as Name or Id.

withProperties(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PerformanceMetrics

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

The data specification of an Amazon RDS DataSource:

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

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

withRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.CreateRealtimeEndpointResult

The endpoint information of the MLModel

withRealtimeEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.DeleteRealtimeEndpointResult

The endpoint information of the MLModel

withRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The data recipe for creating the MLModel.

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

The recipe to use when training the MLModel.

withRecipeUri(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The Amazon Simple Storage Service (Amazon S3) location and file name that contains the MLModel recipe.

withRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest

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

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

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

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The ID of the ML object to tag.

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The ID of the ML object that was tagged.

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The ID of the tagged ML object.

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The ID of the ML object from which tags were deleted.

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The ID of the ML object.

withResourceId(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The ID of the tagged ML object.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task.

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

The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The type of the ML object to tag.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The type of the ML object to tag.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The type of the ML object that was tagged.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.AddTagsResult

The type of the ML object that was tagged.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The type of the tagged ML object.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

The type of the tagged ML object.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The type of the ML object from which tags were deleted.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsResult

The type of the ML object from which tags were deleted.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The type of the ML object.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsRequest

The type of the ML object.

withResourceType(String) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The type of the tagged ML object.

withResourceType(TaggableResourceType) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

The type of the tagged ML object.

withResults(BatchPrediction...) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

A list of BatchPrediction objects that meet the search criteria.

withResults(Collection<BatchPrediction>) - Method in class com.amazonaws.services.machinelearning.model.DescribeBatchPredictionsResult

A list of BatchPrediction objects that meet the search criteria.

withResults(DataSource...) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

A list of DataSource that meet the search criteria.

withResults(Collection<DataSource>) - Method in class com.amazonaws.services.machinelearning.model.DescribeDataSourcesResult

A list of DataSource that meet the search criteria.

withResults(Evaluation...) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

A list of Evaluation that meet the search criteria.

withResults(Collection<Evaluation>) - Method in class com.amazonaws.services.machinelearning.model.DescribeEvaluationsResult

A list of Evaluation that meet the search criteria.

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

A list of MLModel that meet the search criteria.

withResults(Collection<MLModel>) - Method in class com.amazonaws.services.machinelearning.model.DescribeMLModelsResult

A list of MLModel that meet the search criteria.

withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRDSRequest

The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the SelectSqlQuery query from Amazon RDS to Amazon S3.

withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.CreateDataSourceFromRedshiftRequest

A fully specified role Amazon Resource Name (ARN).

withRoleARN(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

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

withS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDataSpec

The Amazon S3 location for staging Amazon RDS data.

withS3StagingLocation(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDataSpec

Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.

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

The schema used by all of the data files referenced by the DataSource.

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

The scoring threshold is used in binary classification MLModel models.

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

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

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

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

The time of the most recent edit to the ScoreThreshold.

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

The time of the most recent edit to the ScoreThreshold.

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

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

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

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

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

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

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

The SQL query that is supplied during CreateDataSourceFromRDS.

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

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

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

The SQL query that is specified during CreateDataSourceFromRedshift.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.DataSource

withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.

withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The epoch time when Amazon Machine Learning marked the Evaluation as INPROGRESS.

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

The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.

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

withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The status of the BatchPrediction.

withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

The status of the BatchPrediction.

withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The current status of the DataSource.

withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.DataSource

The current status of the DataSource.

withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The status of the evaluation.

withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.Evaluation

The status of the evaluation.

withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The status of the BatchPrediction, which can be one of the following values:

withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The status of the BatchPrediction, which can be one of the following values:

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

The current status of the DataSource.

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

The current status of the DataSource.

withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The status of the evaluation.

withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetEvaluationResult

The status of the evaluation.

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

The current status of the MLModel.

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

The current status of the MLModel.

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

The current status of an MLModel.

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

The current status of an MLModel.

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

The subnet ID to be used to access a VPC-based RDS DB instance.

withTagKeys(String...) - Method in class com.amazonaws.services.machinelearning.model.DeleteTagsRequest

One or more tags to delete.

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

One or more tags to delete.

withTags(Tag...) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The key-value pairs to use to create tags.

withTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.AddTagsRequest

The key-value pairs to use to create tags.

withTags(Tag...) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

A list of tags associated with the ML object.

withTags(Collection<Tag>) - Method in class com.amazonaws.services.machinelearning.model.DescribeTagsResult

A list of tags associated with the ML object.

withTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.BatchPrediction

withTotalRecordCount(Long) - Method in class com.amazonaws.services.machinelearning.model.GetBatchPredictionResult

The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.

withTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.CreateMLModelRequest

The DataSource that points to the training data.

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

The ID of the training DataSource.

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

The ID of the training DataSource.

withTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult

A list of the training parameters in the MLModel.

withTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.MLModel

A list of the training parameters in the MLModel.

withUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RDSDatabaseCredentials

withUsername(String) - Method in class com.amazonaws.services.machinelearning.model.RedshiftDatabaseCredentials

withValue(String) - Method in class com.amazonaws.services.machinelearning.model.Tag

An optional string, typically used to describe or define the tag.

withVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Specifies whether the GetDataSource operation should return DataSourceSchema.

withVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest

Specifies whether the GetMLModel operation should return Recipe.

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