com.amazonaws.services.machinelearning.model

Class UpdateMLModelRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.machinelearning.model.UpdateMLModelRequest

All Implemented Interfaces:

ReadLimitInfo, Serializable, Cloneable

public class UpdateMLModelRequest
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
UpdateMLModelRequest()

Method Summary

Methods

Modifier and Type	Method and Description
UpdateMLModelRequest	clone() Creates a shallow clone of this request.
boolean	equals(Object obj)
String	getMLModelId() The ID assigned to the MLModel during creation.
String	getMLModelName() A user-supplied name or description of the MLModel.
Float	getScoreThreshold() The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.
int	hashCode()
void	setMLModelId(String mLModelId) The ID assigned to the MLModel during creation.
void	setMLModelName(String mLModelName) A user-supplied name or description of the MLModel.
void	setScoreThreshold(Float scoreThreshold) The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.
String	toString() Returns a string representation of this object; useful for testing and debugging.
UpdateMLModelRequest	withMLModelId(String mLModelId) The ID assigned to the MLModel during creation.
UpdateMLModelRequest	withMLModelName(String mLModelName) A user-supplied name or description of the MLModel.
UpdateMLModelRequest	withScoreThreshold(Float scoreThreshold) The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

UpdateMLModelRequest

public UpdateMLModelRequest()

Method Detail

setMLModelId

public void setMLModelId(String mLModelId)

The ID assigned to the MLModel during creation.

Parameters:

mLModelId - The ID assigned to the MLModel during creation.

getMLModelId

public String getMLModelId()

The ID assigned to the MLModel during creation.

Returns:

The ID assigned to the MLModel during creation.

withMLModelId

public UpdateMLModelRequest withMLModelId(String mLModelId)

The ID assigned to the MLModel during creation.

Parameters:

mLModelId - The ID assigned to the MLModel during creation.

Returns:

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

setMLModelName

public void setMLModelName(String mLModelName)

A user-supplied name or description of the MLModel.

Parameters:

mLModelName - A user-supplied name or description of the MLModel.

getMLModelName

public String getMLModelName()

A user-supplied name or description of the MLModel.

Returns:

A user-supplied name or description of the MLModel.

withMLModelName

public UpdateMLModelRequest withMLModelName(String mLModelName)

A user-supplied name or description of the MLModel.

Parameters:

mLModelName - A user-supplied name or description of the MLModel.

Returns:

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

setScoreThreshold

public void setScoreThreshold(Float scoreThreshold)

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Parameters:

scoreThreshold - The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

getScoreThreshold

public Float getScoreThreshold()

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Returns:

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

withScoreThreshold

public UpdateMLModelRequest withScoreThreshold(Float scoreThreshold)

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

Parameters:

scoreThreshold - The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

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; useful for testing and debugging.

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 UpdateMLModelRequest 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 class AmazonWebServiceRequest

See Also:

Object.clone()