## Uses of Class
com.amazonaws.services.machinelearning.model.GetEvaluationResult

Packages that use GetEvaluationResult
com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model

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

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

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

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetEvaluationResult
`Future<GetEvaluationResult>` AbstractAmazonMachineLearningAsync.`getEvaluationAsync(GetEvaluationRequest request, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)`
`Future<GetEvaluationResult>` AmazonMachineLearningAsyncClient.`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`.

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

Methods in com.amazonaws.services.machinelearning.model that return GetEvaluationResult
`GetEvaluationResult` GetEvaluationResult.`clone()`
`GetEvaluationResult` GetEvaluationResult.`withComputeTime(Long computeTime)` The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the `Evaluation`, normalized and scaled on computation resources.
`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.`withFinishedAt(Date finishedAt)` The epoch time when Amazon Machine Learning marked the `Evaluation` as `COMPLETED` or `FAILED`.
`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 `Evaluation`.
`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.`withStartedAt(Date startedAt)` The epoch time when Amazon Machine Learning marked the `Evaluation` as `INPROGRESS`.
`GetEvaluationResult` GetEvaluationResult.`withStatus(EntityStatus status)` The status of the evaluation.
`GetEvaluationResult` GetEvaluationResult.`withStatus(String status)` The status of the evaluation.