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The AWS Java SDK for Amazon Comprehend module holds the client classes that are used for communicating with Amazon Comprehend Service
/*
* Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.comprehend.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* The evaluation metrics associated with the evaluated model.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class FlywheelModelEvaluationMetrics implements Serializable, Cloneable, StructuredPojo {
/**
*
* The average F1 score from the evaluation metrics.
*
*/
private Double averageF1Score;
/**
*
* Average precision metric for the model.
*
*/
private Double averagePrecision;
/**
*
* Average recall metric for the model.
*
*/
private Double averageRecall;
/**
*
* Average accuracy metric for the model.
*
*/
private Double averageAccuracy;
/**
*
* The average F1 score from the evaluation metrics.
*
*
* @param averageF1Score
* The average F1 score from the evaluation metrics.
*/
public void setAverageF1Score(Double averageF1Score) {
this.averageF1Score = averageF1Score;
}
/**
*
* The average F1 score from the evaluation metrics.
*
*
* @return The average F1 score from the evaluation metrics.
*/
public Double getAverageF1Score() {
return this.averageF1Score;
}
/**
*
* The average F1 score from the evaluation metrics.
*
*
* @param averageF1Score
* The average F1 score from the evaluation metrics.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public FlywheelModelEvaluationMetrics withAverageF1Score(Double averageF1Score) {
setAverageF1Score(averageF1Score);
return this;
}
/**
*
* Average precision metric for the model.
*
*
* @param averagePrecision
* Average precision metric for the model.
*/
public void setAveragePrecision(Double averagePrecision) {
this.averagePrecision = averagePrecision;
}
/**
*
* Average precision metric for the model.
*
*
* @return Average precision metric for the model.
*/
public Double getAveragePrecision() {
return this.averagePrecision;
}
/**
*
* Average precision metric for the model.
*
*
* @param averagePrecision
* Average precision metric for the model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public FlywheelModelEvaluationMetrics withAveragePrecision(Double averagePrecision) {
setAveragePrecision(averagePrecision);
return this;
}
/**
*
* Average recall metric for the model.
*
*
* @param averageRecall
* Average recall metric for the model.
*/
public void setAverageRecall(Double averageRecall) {
this.averageRecall = averageRecall;
}
/**
*
* Average recall metric for the model.
*
*
* @return Average recall metric for the model.
*/
public Double getAverageRecall() {
return this.averageRecall;
}
/**
*
* Average recall metric for the model.
*
*
* @param averageRecall
* Average recall metric for the model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public FlywheelModelEvaluationMetrics withAverageRecall(Double averageRecall) {
setAverageRecall(averageRecall);
return this;
}
/**
*
* Average accuracy metric for the model.
*
*
* @param averageAccuracy
* Average accuracy metric for the model.
*/
public void setAverageAccuracy(Double averageAccuracy) {
this.averageAccuracy = averageAccuracy;
}
/**
*
* Average accuracy metric for the model.
*
*
* @return Average accuracy metric for the model.
*/
public Double getAverageAccuracy() {
return this.averageAccuracy;
}
/**
*
* Average accuracy metric for the model.
*
*
* @param averageAccuracy
* Average accuracy metric for the model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public FlywheelModelEvaluationMetrics withAverageAccuracy(Double averageAccuracy) {
setAverageAccuracy(averageAccuracy);
return this;
}
/**
* 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.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getAverageF1Score() != null)
sb.append("AverageF1Score: ").append(getAverageF1Score()).append(",");
if (getAveragePrecision() != null)
sb.append("AveragePrecision: ").append(getAveragePrecision()).append(",");
if (getAverageRecall() != null)
sb.append("AverageRecall: ").append(getAverageRecall()).append(",");
if (getAverageAccuracy() != null)
sb.append("AverageAccuracy: ").append(getAverageAccuracy());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof FlywheelModelEvaluationMetrics == false)
return false;
FlywheelModelEvaluationMetrics other = (FlywheelModelEvaluationMetrics) obj;
if (other.getAverageF1Score() == null ^ this.getAverageF1Score() == null)
return false;
if (other.getAverageF1Score() != null && other.getAverageF1Score().equals(this.getAverageF1Score()) == false)
return false;
if (other.getAveragePrecision() == null ^ this.getAveragePrecision() == null)
return false;
if (other.getAveragePrecision() != null && other.getAveragePrecision().equals(this.getAveragePrecision()) == false)
return false;
if (other.getAverageRecall() == null ^ this.getAverageRecall() == null)
return false;
if (other.getAverageRecall() != null && other.getAverageRecall().equals(this.getAverageRecall()) == false)
return false;
if (other.getAverageAccuracy() == null ^ this.getAverageAccuracy() == null)
return false;
if (other.getAverageAccuracy() != null && other.getAverageAccuracy().equals(this.getAverageAccuracy()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getAverageF1Score() == null) ? 0 : getAverageF1Score().hashCode());
hashCode = prime * hashCode + ((getAveragePrecision() == null) ? 0 : getAveragePrecision().hashCode());
hashCode = prime * hashCode + ((getAverageRecall() == null) ? 0 : getAverageRecall().hashCode());
hashCode = prime * hashCode + ((getAverageAccuracy() == null) ? 0 : getAverageAccuracy().hashCode());
return hashCode;
}
@Override
public FlywheelModelEvaluationMetrics clone() {
try {
return (FlywheelModelEvaluationMetrics) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.comprehend.model.transform.FlywheelModelEvaluationMetricsMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}