Package | Description |
---|---|
com.amazonaws.services.machinelearning | |
com.amazonaws.services.machinelearning.model | |
com.amazonaws.services.machinelearning.model.transform |
Modifier and Type | Method and Description |
---|---|
CreateEvaluationResult |
AmazonMachineLearningClient.createEvaluation(CreateEvaluationRequest createEvaluationRequest)
Creates a new
Evaluation of an MLModel . |
CreateEvaluationResult |
AmazonMachineLearning.createEvaluation(CreateEvaluationRequest createEvaluationRequest)
Creates a new
Evaluation of an MLModel . |
CreateEvaluationResult |
AbstractAmazonMachineLearning.createEvaluation(CreateEvaluationRequest request) |
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsyncClient.createEvaluationAsync(CreateEvaluationRequest request) |
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest)
Creates a new
Evaluation of an MLModel . |
java.util.concurrent.Future<CreateEvaluationResult> |
AbstractAmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest request) |
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsyncClient.createEvaluationAsync(CreateEvaluationRequest request,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler) |
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler)
Creates a new
Evaluation of an MLModel . |
java.util.concurrent.Future<CreateEvaluationResult> |
AbstractAmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest request,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler) |
Modifier and Type | Method and Description |
---|---|
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsyncClient.createEvaluationAsync(CreateEvaluationRequest request,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler) |
java.util.concurrent.Future<CreateEvaluationResult> |
AmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler)
Creates a new
Evaluation of an MLModel . |
java.util.concurrent.Future<CreateEvaluationResult> |
AbstractAmazonMachineLearningAsync.createEvaluationAsync(CreateEvaluationRequest request,
AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler) |
Modifier and Type | Method and Description |
---|---|
CreateEvaluationRequest |
CreateEvaluationRequest.clone() |
CreateEvaluationRequest |
CreateEvaluationRequest.withEvaluationDataSourceId(java.lang.String evaluationDataSourceId)
The ID of the
DataSource for the evaluation. |
CreateEvaluationRequest |
CreateEvaluationRequest.withEvaluationId(java.lang.String evaluationId)
A user-supplied ID that uniquely identifies the
Evaluation . |
CreateEvaluationRequest |
CreateEvaluationRequest.withEvaluationName(java.lang.String evaluationName)
A user-supplied name or description of the
Evaluation . |
CreateEvaluationRequest |
CreateEvaluationRequest.withMLModelId(java.lang.String mLModelId)
The ID of the
MLModel to evaluate. |
Modifier and Type | Method and Description |
---|---|
Request<CreateEvaluationRequest> |
CreateEvaluationRequestMarshaller.marshall(CreateEvaluationRequest createEvaluationRequest) |
Modifier and Type | Method and Description |
---|---|
Request<CreateEvaluationRequest> |
CreateEvaluationRequestMarshaller.marshall(CreateEvaluationRequest createEvaluationRequest) |