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The AWS Java SDK for Amazon SageMaker module holds the client classes that are used for communicating with Amazon SageMaker Service
/*
* Copyright 2019-2024 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.sagemaker.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Contains bias metrics for a model.
*
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class Bias implements Serializable, Cloneable, StructuredPojo {
/**
*
* The bias report for a model
*
*/
private MetricsSource report;
/**
*
* The pre-training bias report for a model.
*
*/
private MetricsSource preTrainingReport;
/**
*
* The post-training bias report for a model.
*
*/
private MetricsSource postTrainingReport;
/**
*
* The bias report for a model
*
*
* @param report
* The bias report for a model
*/
public void setReport(MetricsSource report) {
this.report = report;
}
/**
*
* The bias report for a model
*
*
* @return The bias report for a model
*/
public MetricsSource getReport() {
return this.report;
}
/**
*
* The bias report for a model
*
*
* @param report
* The bias report for a model
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Bias withReport(MetricsSource report) {
setReport(report);
return this;
}
/**
*
* The pre-training bias report for a model.
*
*
* @param preTrainingReport
* The pre-training bias report for a model.
*/
public void setPreTrainingReport(MetricsSource preTrainingReport) {
this.preTrainingReport = preTrainingReport;
}
/**
*
* The pre-training bias report for a model.
*
*
* @return The pre-training bias report for a model.
*/
public MetricsSource getPreTrainingReport() {
return this.preTrainingReport;
}
/**
*
* The pre-training bias report for a model.
*
*
* @param preTrainingReport
* The pre-training bias report for a model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Bias withPreTrainingReport(MetricsSource preTrainingReport) {
setPreTrainingReport(preTrainingReport);
return this;
}
/**
*
* The post-training bias report for a model.
*
*
* @param postTrainingReport
* The post-training bias report for a model.
*/
public void setPostTrainingReport(MetricsSource postTrainingReport) {
this.postTrainingReport = postTrainingReport;
}
/**
*
* The post-training bias report for a model.
*
*
* @return The post-training bias report for a model.
*/
public MetricsSource getPostTrainingReport() {
return this.postTrainingReport;
}
/**
*
* The post-training bias report for a model.
*
*
* @param postTrainingReport
* The post-training bias report for a model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Bias withPostTrainingReport(MetricsSource postTrainingReport) {
setPostTrainingReport(postTrainingReport);
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 (getReport() != null)
sb.append("Report: ").append(getReport()).append(",");
if (getPreTrainingReport() != null)
sb.append("PreTrainingReport: ").append(getPreTrainingReport()).append(",");
if (getPostTrainingReport() != null)
sb.append("PostTrainingReport: ").append(getPostTrainingReport());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof Bias == false)
return false;
Bias other = (Bias) obj;
if (other.getReport() == null ^ this.getReport() == null)
return false;
if (other.getReport() != null && other.getReport().equals(this.getReport()) == false)
return false;
if (other.getPreTrainingReport() == null ^ this.getPreTrainingReport() == null)
return false;
if (other.getPreTrainingReport() != null && other.getPreTrainingReport().equals(this.getPreTrainingReport()) == false)
return false;
if (other.getPostTrainingReport() == null ^ this.getPostTrainingReport() == null)
return false;
if (other.getPostTrainingReport() != null && other.getPostTrainingReport().equals(this.getPostTrainingReport()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getReport() == null) ? 0 : getReport().hashCode());
hashCode = prime * hashCode + ((getPreTrainingReport() == null) ? 0 : getPreTrainingReport().hashCode());
hashCode = prime * hashCode + ((getPostTrainingReport() == null) ? 0 : getPostTrainingReport().hashCode());
return hashCode;
}
@Override
public Bias clone() {
try {
return (Bias) 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.sagemaker.model.transform.BiasMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}