Class CreateEvaluationRequest
- All Implemented Interfaces:
ReadLimitInfo
,Serializable
,Cloneable
- See Also:
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Field Summary
Fields inherited from class com.amazonaws.AmazonWebServiceRequest
NOOP
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionclone()
Creates a shallow clone of this request.boolean
The ID of theDataSource
for the evaluation.A user-supplied ID that uniquely identifies theEvaluation
.A user-supplied name or description of theEvaluation
.The ID of theMLModel
to evaluate.int
hashCode()
void
setEvaluationDataSourceId
(String evaluationDataSourceId) The ID of theDataSource
for the evaluation.void
setEvaluationId
(String evaluationId) A user-supplied ID that uniquely identifies theEvaluation
.void
setEvaluationName
(String evaluationName) A user-supplied name or description of theEvaluation
.void
setMLModelId
(String mLModelId) The ID of theMLModel
to evaluate.toString()
Returns a string representation of this object; useful for testing and debugging.withEvaluationDataSourceId
(String evaluationDataSourceId) The ID of theDataSource
for the evaluation.withEvaluationId
(String evaluationId) A user-supplied ID that uniquely identifies theEvaluation
.withEvaluationName
(String evaluationName) A user-supplied name or description of theEvaluation
.withMLModelId
(String mLModelId) The ID of theMLModel
to evaluate.Methods inherited from class com.amazonaws.AmazonWebServiceRequest
copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
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Constructor Details
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CreateEvaluationRequest
public CreateEvaluationRequest()
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Method Details
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setEvaluationId
A user-supplied ID that uniquely identifies the
Evaluation
.- Parameters:
evaluationId
- A user-supplied ID that uniquely identifies theEvaluation
.
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getEvaluationId
A user-supplied ID that uniquely identifies the
Evaluation
.- Returns:
- A user-supplied ID that uniquely identifies the
Evaluation
.
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withEvaluationId
A user-supplied ID that uniquely identifies the
Evaluation
.- Parameters:
evaluationId
- A user-supplied ID that uniquely identifies theEvaluation
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setEvaluationName
A user-supplied name or description of the
Evaluation
.- Parameters:
evaluationName
- A user-supplied name or description of theEvaluation
.
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getEvaluationName
A user-supplied name or description of the
Evaluation
.- Returns:
- A user-supplied name or description of the
Evaluation
.
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withEvaluationName
A user-supplied name or description of the
Evaluation
.- Parameters:
evaluationName
- A user-supplied name or description of theEvaluation
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setMLModelId
The ID of the
MLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.- Parameters:
mLModelId
- The ID of theMLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.
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getMLModelId
The ID of the
MLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.- Returns:
- The ID of the
MLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.
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withMLModelId
The ID of the
MLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.- Parameters:
mLModelId
- The ID of theMLModel
to evaluate.The schema used in creating the
MLModel
must match the schema of theDataSource
used in theEvaluation
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setEvaluationDataSourceId
The ID of the
DataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.- Parameters:
evaluationDataSourceId
- The ID of theDataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.
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getEvaluationDataSourceId
The ID of the
DataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.- Returns:
- The ID of the
DataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.
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withEvaluationDataSourceId
The ID of the
DataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.- Parameters:
evaluationDataSourceId
- The ID of theDataSource
for the evaluation. The schema of theDataSource
must match the schema used to create theMLModel
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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toString
Returns a string representation of this object; useful for testing and debugging. -
equals
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hashCode
public int hashCode() -
clone
Description copied from class:AmazonWebServiceRequest
Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.- Overrides:
clone
in classAmazonWebServiceRequest
- See Also:
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