@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateEvaluationRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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CreateEvaluationRequest() |
Modifier and Type | Method and Description |
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CreateEvaluationRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
|
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. |
addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public 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 Object
Object.toString()
public CreateEvaluationRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()
Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.