public class CreateEvaluationRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP| Constructor and Description |
|---|
CreateEvaluationRequest() |
| Modifier and Type | Method and Description |
|---|---|
CreateEvaluationRequest |
clone()
Creates a shallow clone of this request.
|
boolean |
equals(Object obj) |
String |
getEvaluationDataSourceId()
The ID of the
DataSource for the evaluation. |
String |
getEvaluationId()
A user-supplied ID that uniquely identifies the
Evaluation. |
String |
getEvaluationName()
A user-supplied name or description of the
Evaluation. |
String |
getMLModelId()
The ID of the
MLModel to evaluate. |
int |
hashCode() |
void |
setEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the
DataSource for the evaluation. |
void |
setEvaluationId(String evaluationId)
A user-supplied ID that uniquely identifies the
Evaluation. |
void |
setEvaluationName(String evaluationName)
A user-supplied name or description of the
Evaluation. |
void |
setMLModelId(String mLModelId)
The ID of the
MLModel to evaluate. |
String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
CreateEvaluationRequest |
withEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the
DataSource for the evaluation. |
CreateEvaluationRequest |
withEvaluationId(String evaluationId)
A user-supplied ID that uniquely identifies the
Evaluation. |
CreateEvaluationRequest |
withEvaluationName(String evaluationName)
A user-supplied name or description of the
Evaluation. |
CreateEvaluationRequest |
withMLModelId(String mLModelId)
The ID of the
MLModel to evaluate. |
getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeoutpublic void setEvaluationId(String evaluationId)
A user-supplied ID that uniquely identifies the Evaluation.
evaluationId - A user-supplied ID that uniquely identifies the
Evaluation.public String getEvaluationId()
A user-supplied ID that uniquely identifies the Evaluation.
Evaluation.public CreateEvaluationRequest withEvaluationId(String evaluationId)
A user-supplied ID that uniquely identifies the Evaluation.
evaluationId - A user-supplied ID that uniquely identifies the
Evaluation.public void setEvaluationName(String evaluationName)
A user-supplied name or description of the Evaluation.
evaluationName - A user-supplied name or description of the Evaluation
.public String getEvaluationName()
A user-supplied name or description of the Evaluation.
Evaluation.public CreateEvaluationRequest withEvaluationName(String evaluationName)
A user-supplied name or description of the Evaluation.
evaluationName - A user-supplied name or description of the Evaluation
.public void setMLModelId(String mLModelId)
The ID of the MLModel to evaluate.
The schema used in creating the MLModel must match the
schema of the DataSource used in the Evaluation
.
mLModelId - The ID of the MLModel to evaluate.
The schema used in creating the MLModel must match
the schema of the DataSource used in the
Evaluation.
public String getMLModelId()
The ID of the MLModel to evaluate.
The schema used in creating the MLModel must match the
schema of the DataSource used in the Evaluation
.
MLModel to evaluate.
The schema used in creating the MLModel must match
the schema of the DataSource used in the
Evaluation.
public CreateEvaluationRequest withMLModelId(String mLModelId)
The ID of the MLModel to evaluate.
The schema used in creating the MLModel must match the
schema of the DataSource used in the Evaluation
.
mLModelId - The ID of the MLModel to evaluate.
The schema used in creating the MLModel must match
the schema of the DataSource used in the
Evaluation.
public void setEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the DataSource for the evaluation. The schema of
the DataSource must match the schema used to create the
MLModel.
evaluationDataSourceId - The ID of the DataSource for the evaluation. The
schema of the DataSource must match the schema used
to create the MLModel.public String getEvaluationDataSourceId()
The ID of the DataSource for the evaluation. The schema of
the DataSource must match the schema used to create the
MLModel.
DataSource for the evaluation. The
schema of the DataSource must match the schema used
to create the MLModel.public CreateEvaluationRequest withEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the DataSource for the evaluation. The schema of
the DataSource must match the schema used to create the
MLModel.
evaluationDataSourceId - The ID of the DataSource for the evaluation. The
schema of the DataSource must match the schema used
to create the MLModel.public String toString()
toString in class ObjectObject.toString()public CreateEvaluationRequest clone()
AmazonWebServiceRequestclone in class AmazonWebServiceRequestObject.clone()Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.