com.amazonaws.services.machinelearning.model

Class CreateEvaluationRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.machinelearning.model.CreateEvaluationRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class CreateEvaluationRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
CreateEvaluationRequest()

Method Summary

Modifier and Type	Method and Description
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.
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.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

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

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

CreateEvaluationRequest

public CreateEvaluationRequest()

Method Detail

setEvaluationId

public void setEvaluationId(String evaluationId)

A user-supplied ID that uniquely identifies the Evaluation.

Parameters:

evaluationId - A user-supplied ID that uniquely identifies the Evaluation.

getEvaluationId

public String getEvaluationId()

A user-supplied ID that uniquely identifies the Evaluation.

Returns:

A user-supplied ID that uniquely identifies the Evaluation.

withEvaluationId

public CreateEvaluationRequest withEvaluationId(String evaluationId)

A user-supplied ID that uniquely identifies the Evaluation.

Parameters:

evaluationId - A user-supplied ID that uniquely identifies the Evaluation.

Returns:

Returns a reference to this object so that method calls can be chained together.

setEvaluationName

public void setEvaluationName(String evaluationName)

A user-supplied name or description of the Evaluation.

Parameters:

evaluationName - A user-supplied name or description of the Evaluation.

getEvaluationName

public String getEvaluationName()

A user-supplied name or description of the Evaluation.

Returns:

A user-supplied name or description of the Evaluation.

withEvaluationName

public CreateEvaluationRequest withEvaluationName(String evaluationName)

A user-supplied name or description of the Evaluation.

Parameters:

evaluationName - A user-supplied name or description of the Evaluation.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMLModelId

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.

Parameters:

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.

getMLModelId

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.

Returns:

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.

withMLModelId

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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

setEvaluationDataSourceId

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.

Parameters:

evaluationDataSourceId - The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

getEvaluationDataSourceId

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.

Returns:

The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

withEvaluationDataSourceId

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.

Parameters:

evaluationDataSourceId - The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public CreateEvaluationRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()