Uses of Class com.amazonaws.services.machinelearning.model.GetEvaluationResult (AWS SDK for Java 1.11.3 API)

Packages that use GetEvaluationResult
Package Description

com.amazonaws.services.machinelearning

com.amazonaws.services.machinelearning.model

Uses of GetEvaluationResult in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning that return GetEvaluationResult
Modifier and Type	Method	Description
`GetEvaluationResult`	AbstractAmazonMachineLearning.`getEvaluation(GetEvaluationRequest request)`
`GetEvaluationResult`	AmazonMachineLearning.`getEvaluation(GetEvaluationRequest getEvaluationRequest)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`GetEvaluationResult`	AmazonMachineLearningClient.`getEvaluation(GetEvaluationRequest getEvaluationRequest)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.

Methods in com.amazonaws.services.machinelearning that return types with arguments of type GetEvaluationResult
Modifier and Type	Method	Description
`Future<GetEvaluationResult>`	AbstractAmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest request)`
`Future<GetEvaluationResult>`	AbstractAmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest request, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`
`Future<GetEvaluationResult>`	AmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest getEvaluationRequest)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`Future<GetEvaluationResult>`	AmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest getEvaluationRequest, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`Future<GetEvaluationResult>`	AmazonMachineLearningAsyncClient.`getEvaluationAsync(GetEvaluationRequest request)`
`Future<GetEvaluationResult>`	AmazonMachineLearningAsyncClient.`getEvaluationAsync(GetEvaluationRequest request, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetEvaluationResult
Modifier and Type	Method	Description
`Future<GetEvaluationResult>`	AbstractAmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest request, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`
`Future<GetEvaluationResult>`	AmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest getEvaluationRequest, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`Future<GetEvaluationResult>`	AmazonMachineLearningAsyncClient.`getEvaluationAsync(GetEvaluationRequest request, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`

Uses of GetEvaluationResult in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return GetEvaluationResult
Modifier and Type	Method	Description
`GetEvaluationResult`	GetEvaluationResult.`clone()`
`GetEvaluationResult`	GetEvaluationResult.`withCreatedAt(Date createdAt)`	The time that the `Evaluation` was created.
`GetEvaluationResult`	GetEvaluationResult.`withCreatedByIamUser(String createdByIamUser)`	The AWS user account that invoked the evaluation.
`GetEvaluationResult`	GetEvaluationResult.`withEvaluationDataSourceId(String evaluationDataSourceId)`	The `DataSource` used for this evaluation.
`GetEvaluationResult`	GetEvaluationResult.`withEvaluationId(String evaluationId)`	The evaluation ID which is same as the `EvaluationId` in the request.
`GetEvaluationResult`	GetEvaluationResult.`withInputDataLocationS3(String inputDataLocationS3)`	The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
`GetEvaluationResult`	GetEvaluationResult.`withLastUpdatedAt(Date lastUpdatedAt)`	The time of the most recent edit to the `BatchPrediction`.
`GetEvaluationResult`	GetEvaluationResult.`withLogUri(String logUri)`	A link to the file that contains logs of the CreateEvaluation operation.
`GetEvaluationResult`	GetEvaluationResult.`withMessage(String message)`	A description of the most recent details about evaluating the `MLModel`.
`GetEvaluationResult`	GetEvaluationResult.`withMLModelId(String mLModelId)`	The ID of the `MLModel` that was the focus of the evaluation.
`GetEvaluationResult`	GetEvaluationResult.`withName(String name)`	A user-supplied name or description of the `Evaluation`.
`GetEvaluationResult`	GetEvaluationResult.`withPerformanceMetrics(PerformanceMetrics performanceMetrics)`	Measurements of how well the `MLModel` performed using observations referenced by the `DataSource`.
`GetEvaluationResult`	GetEvaluationResult.`withStatus(EntityStatus status)`	The status of the evaluation.
`GetEvaluationResult`	GetEvaluationResult.`withStatus(String status)`	The status of the evaluation.