All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

See Also:

AWS API Documentation, Serialized Form

• Constructor Summary

  Constructors

  Constructor and Description
  ModelMetrics ()

• Method Summary

  All Methods

  Modifier and Type	Method and Description
  ModelMetrics	clone ()
  boolean	equals (Object obj)
  Bias	getBias () Metrics that measure bias in a model.
  Explainability	getExplainability () Metrics that help explain a model.
  ModelDataQuality	getModelDataQuality () Metrics that measure the quality of the input data for a model.
  ModelQuality	getModelQuality () Metrics that measure the quality of a model.
  int	hashCode ()
  void	marshall (ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
  void	setBias (Bias bias) Metrics that measure bias in a model.
  void	setExplainability (Explainability explainability) Metrics that help explain a model.
  void	setModelDataQuality (ModelDataQuality modelDataQuality) Metrics that measure the quality of the input data for a model.
  void	setModelQuality (ModelQuality modelQuality) Metrics that measure the quality of a model.
  String	toString () Returns a string representation of this object.
  ModelMetrics	withBias (Bias bias) Metrics that measure bias in a model.
  ModelMetrics	withExplainability (Explainability explainability) Metrics that help explain a model.
  ModelMetrics	withModelDataQuality (ModelDataQuality modelDataQuality) Metrics that measure the quality of the input data for a model.
  ModelMetrics	withModelQuality (ModelQuality modelQuality) Metrics that measure the quality of a model.

  • Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait

• Constructor Detail

  • ModelMetrics

    public ModelMetrics()

• Method Detail

  • setModelQuality

    public void setModelQuality(ModelQuality modelQuality)

    Metrics that measure the quality of a model.

    Parameters:

    modelQuality - Metrics that measure the quality of a model.

  • getModelQuality

    public ModelQuality getModelQuality()

    Metrics that measure the quality of a model.

    Returns:

    Metrics that measure the quality of a model.

  • withModelQuality

    public ModelMetrics withModelQuality(ModelQuality modelQuality)

    Metrics that measure the quality of a model.

    Parameters:

    modelQuality - Metrics that measure the quality of a model.

    Returns:

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

  • setModelDataQuality

    public void setModelDataQuality(ModelDataQuality modelDataQuality)

    Metrics that measure the quality of the input data for a model.

    Parameters:

    modelDataQuality - Metrics that measure the quality of the input data for a model.

  • getModelDataQuality

    public ModelDataQuality getModelDataQuality()

    Metrics that measure the quality of the input data for a model.

    Returns:

    Metrics that measure the quality of the input data for a model.

  • withModelDataQuality

    public ModelMetrics withModelDataQuality(ModelDataQuality modelDataQuality)

    Metrics that measure the quality of the input data for a model.

    Parameters:

    modelDataQuality - Metrics that measure the quality of the input data for a model.

    Returns:

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

  • setBias

    public void setBias(Bias bias)

    Metrics that measure bias in a model.

    Parameters:

    bias - Metrics that measure bias in a model.

  • getBias

    public Bias getBias()

    Metrics that measure bias in a model.

    Returns:

    Metrics that measure bias in a model.

  • withBias

    public ModelMetrics withBias(Bias bias)

    Metrics that measure bias in a model.

    Parameters:

    bias - Metrics that measure bias in a model.

    Returns:

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

  • setExplainability

    public void setExplainability(Explainability explainability)

    Metrics that help explain a model.

    Parameters:

    explainability - Metrics that help explain a model.

  • getExplainability

    public Explainability getExplainability()

    Metrics that help explain a model.

    Returns:

    Metrics that help explain a model.

  • withExplainability

    public ModelMetrics withExplainability(Explainability explainability)

    Metrics that help explain a model.

    Parameters:

    explainability - Metrics that help explain a model.

    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 ModelMetrics clone()

    Overrides:

    clone in class Object

  • marshall

    public void marshall(ProtocolMarshaller protocolMarshaller)

    Description copied from interface: StructuredPojo
    Marshalls this structured data using the given ProtocolMarshaller.

    Specified by:

    marshall in interface StructuredPojo

    Parameters:

    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.