Class CreateEvaluationRequest
- java.lang.Object
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- com.amazonaws.AmazonWebServiceRequest
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- com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
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- All Implemented Interfaces:
ReadLimitInfo,Serializable,Cloneable
public class CreateEvaluationRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class com.amazonaws.AmazonWebServiceRequest
NOOP
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Constructor Summary
Constructors Constructor Description CreateEvaluationRequest()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description CreateEvaluationRequestclone()Creates a shallow clone of this request.booleanequals(Object obj)StringgetEvaluationDataSourceId()The ID of theDataSourcefor the evaluation.StringgetEvaluationId()A user-supplied ID that uniquely identifies theEvaluation.StringgetEvaluationName()A user-supplied name or description of theEvaluation.StringgetMLModelId()The ID of theMLModelto evaluate.inthashCode()voidsetEvaluationDataSourceId(String evaluationDataSourceId)The ID of theDataSourcefor the evaluation.voidsetEvaluationId(String evaluationId)A user-supplied ID that uniquely identifies theEvaluation.voidsetEvaluationName(String evaluationName)A user-supplied name or description of theEvaluation.voidsetMLModelId(String mLModelId)The ID of theMLModelto evaluate.StringtoString()Returns a string representation of this object; useful for testing and debugging.CreateEvaluationRequestwithEvaluationDataSourceId(String evaluationDataSourceId)The ID of theDataSourcefor the evaluation.CreateEvaluationRequestwithEvaluationId(String evaluationId)A user-supplied ID that uniquely identifies theEvaluation.CreateEvaluationRequestwithEvaluationName(String evaluationName)A user-supplied name or description of theEvaluation.CreateEvaluationRequestwithMLModelId(String mLModelId)The ID of theMLModelto 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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Method Detail
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setEvaluationId
public void setEvaluationId(String evaluationId)
A user-supplied ID that uniquely identifies the
Evaluation.- Parameters:
evaluationId- A user-supplied ID that uniquely identifies theEvaluation.
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getEvaluationId
public String 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
public CreateEvaluationRequest withEvaluationId(String evaluationId)
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
public void setEvaluationName(String evaluationName)
A user-supplied name or description of the
Evaluation.- Parameters:
evaluationName- A user-supplied name or description of theEvaluation.
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getEvaluationName
public String 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
public CreateEvaluationRequest withEvaluationName(String evaluationName)
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
public void setMLModelId(String mLModelId)
The ID of the
MLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.- Parameters:
mLModelId- The ID of theMLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.
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getMLModelId
public String getMLModelId()
The ID of the
MLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.- Returns:
- The ID of the
MLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.
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withMLModelId
public CreateEvaluationRequest withMLModelId(String mLModelId)
The ID of the
MLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.- Parameters:
mLModelId- The ID of theMLModelto evaluate.The schema used in creating the
MLModelmust match the schema of theDataSourceused in theEvaluation.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setEvaluationDataSourceId
public void setEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the
DataSourcefor the evaluation. The schema of theDataSourcemust match the schema used to create theMLModel.- Parameters:
evaluationDataSourceId- The ID of theDataSourcefor the evaluation. The schema of theDataSourcemust match the schema used to create theMLModel.
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getEvaluationDataSourceId
public String getEvaluationDataSourceId()
The ID of the
DataSourcefor the evaluation. The schema of theDataSourcemust match the schema used to create theMLModel.- Returns:
- The ID of the
DataSourcefor the evaluation. The schema of theDataSourcemust match the schema used to create theMLModel.
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withEvaluationDataSourceId
public CreateEvaluationRequest withEvaluationDataSourceId(String evaluationDataSourceId)
The ID of the
DataSourcefor the evaluation. The schema of theDataSourcemust match the schema used to create theMLModel.- Parameters:
evaluationDataSourceId- The ID of theDataSourcefor the evaluation. The schema of theDataSourcemust 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
public String toString()
Returns a string representation of this object; useful for testing and debugging.- Overrides:
toStringin classObject- Returns:
- A string representation of this object.
- See Also:
Object.toString()
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clone
public CreateEvaluationRequest clone()
Description copied from class:AmazonWebServiceRequestCreates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.- Overrides:
clonein classAmazonWebServiceRequest- See Also:
Object.clone()
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