Package | Description |
---|---|
com.amazonaws.services.machinelearning | |
com.amazonaws.services.machinelearning.model |
Modifier and Type | Method and Description |
---|---|
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 . |
GetEvaluationResult |
AbstractAmazonMachineLearning.getEvaluation(GetEvaluationRequest request) |
Modifier and Type | Method and Description |
---|---|
Future<GetEvaluationResult> |
AmazonMachineLearningAsyncClient.getEvaluationAsync(GetEvaluationRequest request) |
Future<GetEvaluationResult> |
AbstractAmazonMachineLearningAsync.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> |
AmazonMachineLearningAsyncClient.getEvaluationAsync(GetEvaluationRequest request,
AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler) |
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 . |
Modifier and Type | Method and Description |
---|---|
Future<GetEvaluationResult> |
AmazonMachineLearningAsyncClient.getEvaluationAsync(GetEvaluationRequest request,
AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler) |
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 . |
Modifier and Type | Method and 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.
|
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