com.amazonaws.services.comprehend.model

Class FlywheelModelEvaluationMetrics

java.lang.Object

com.amazonaws.services.comprehend.model.FlywheelModelEvaluationMetrics

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

The evaluation metrics associated with the evaluated model.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
FlywheelModelEvaluationMetrics()

Method Summary

Modifier and Type	Method and Description
FlywheelModelEvaluationMetrics	clone()
boolean	equals(Object obj)
Double	getAverageAccuracy() Average accuracy metric for the model.
Double	getAverageF1Score() The average F1 score from the evaluation metrics.
Double	getAveragePrecision() Average precision metric for the model.
Double	getAverageRecall() Average recall metric for the model.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setAverageAccuracy(Double averageAccuracy) Average accuracy metric for the model.
void	setAverageF1Score(Double averageF1Score) The average F1 score from the evaluation metrics.
void	setAveragePrecision(Double averagePrecision) Average precision metric for the model.
void	setAverageRecall(Double averageRecall) Average recall metric for the model.
String	toString() Returns a string representation of this object.
FlywheelModelEvaluationMetrics	withAverageAccuracy(Double averageAccuracy) Average accuracy metric for the model.
FlywheelModelEvaluationMetrics	withAverageF1Score(Double averageF1Score) The average F1 score from the evaluation metrics.
FlywheelModelEvaluationMetrics	withAveragePrecision(Double averagePrecision) Average precision metric for the model.
FlywheelModelEvaluationMetrics	withAverageRecall(Double averageRecall) Average recall metric for the model.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

FlywheelModelEvaluationMetrics

public FlywheelModelEvaluationMetrics()

Method Detail

setAverageF1Score

public void setAverageF1Score(Double averageF1Score)

The average F1 score from the evaluation metrics.

Parameters:

averageF1Score - The average F1 score from the evaluation metrics.

getAverageF1Score

public Double getAverageF1Score()

The average F1 score from the evaluation metrics.

Returns:

The average F1 score from the evaluation metrics.

withAverageF1Score

public FlywheelModelEvaluationMetrics withAverageF1Score(Double averageF1Score)

The average F1 score from the evaluation metrics.

Parameters:

averageF1Score - The average F1 score from the evaluation metrics.

Returns:

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

setAveragePrecision

public void setAveragePrecision(Double averagePrecision)

Average precision metric for the model.

Parameters:

averagePrecision - Average precision metric for the model.

getAveragePrecision

public Double getAveragePrecision()

Average precision metric for the model.

Returns:

Average precision metric for the model.

withAveragePrecision

public FlywheelModelEvaluationMetrics withAveragePrecision(Double averagePrecision)

Average precision metric for the model.

Parameters:

averagePrecision - Average precision metric for the model.

Returns:

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

setAverageRecall

public void setAverageRecall(Double averageRecall)

Average recall metric for the model.

Parameters:

averageRecall - Average recall metric for the model.

getAverageRecall

public Double getAverageRecall()

Average recall metric for the model.

Returns:

Average recall metric for the model.

withAverageRecall

public FlywheelModelEvaluationMetrics withAverageRecall(Double averageRecall)

Average recall metric for the model.

Parameters:

averageRecall - Average recall metric for the model.

Returns:

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

setAverageAccuracy

public void setAverageAccuracy(Double averageAccuracy)

Average accuracy metric for the model.

Parameters:

averageAccuracy - Average accuracy metric for the model.

getAverageAccuracy

public Double getAverageAccuracy()

Average accuracy metric for the model.

Returns:

Average accuracy metric for the model.

withAverageAccuracy

public FlywheelModelEvaluationMetrics withAverageAccuracy(Double averageAccuracy)

Average accuracy metric for the model.

Parameters:

averageAccuracy - Average accuracy metric for the 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 FlywheelModelEvaluationMetrics 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.