All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
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

  All Methods

  Modifier and Type	Method and Description
  UpdateMLModelRequest	clone () Creates a shallow clone of this object for all fields except the handler context.
  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.
  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

    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

  • 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. 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 UpdateMLModelRequest 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()