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  DataSourcefor 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  MLModelto evaluate. | 
| int | hashCode() | 
| void | setEvaluationDataSourceId(String evaluationDataSourceId)
 The ID of the  DataSourcefor 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  MLModelto evaluate. | 
| String | toString()Returns a string representation of this object; useful for testing and
 debugging. | 
| CreateEvaluationRequest | withEvaluationDataSourceId(String evaluationDataSourceId)
 The ID of the  DataSourcefor 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  MLModelto 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.