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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;
/**
*
* The best candidate result from an AutoML training job.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class FinalAutoMLJobObjectiveMetric implements Serializable, Cloneable, StructuredPojo {
/**
*
* The type of metric with the best result.
*
*/
private String type;
/**
*
* The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
*
*/
private String metricName;
/**
*
* The value of the metric with the best result.
*
*/
private Float value;
/**
*
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
*
*/
private String standardMetricName;
/**
*
* The type of metric with the best result.
*
*
* @param type
* The type of metric with the best result.
* @see AutoMLJobObjectiveType
*/
public void setType(String type) {
this.type = type;
}
/**
*
* The type of metric with the best result.
*
*
* @return The type of metric with the best result.
* @see AutoMLJobObjectiveType
*/
public String getType() {
return this.type;
}
/**
*
* The type of metric with the best result.
*
*
* @param type
* The type of metric with the best result.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLJobObjectiveType
*/
public FinalAutoMLJobObjectiveMetric withType(String type) {
setType(type);
return this;
}
/**
*
* The type of metric with the best result.
*
*
* @param type
* The type of metric with the best result.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLJobObjectiveType
*/
public FinalAutoMLJobObjectiveMetric withType(AutoMLJobObjectiveType type) {
this.type = type.toString();
return this;
}
/**
*
* The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
*
*
* @param metricName
* The name of the metric with the best result. For a description of the possible objective metrics, see
* AutoMLJobObjective$MetricName.
* @see AutoMLMetricEnum
*/
public void setMetricName(String metricName) {
this.metricName = metricName;
}
/**
*
* The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
*
*
* @return The name of the metric with the best result. For a description of the possible objective metrics, see
* AutoMLJobObjective$MetricName.
* @see AutoMLMetricEnum
*/
public String getMetricName() {
return this.metricName;
}
/**
*
* The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
*
*
* @param metricName
* The name of the metric with the best result. For a description of the possible objective metrics, see
* AutoMLJobObjective$MetricName.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLMetricEnum
*/
public FinalAutoMLJobObjectiveMetric withMetricName(String metricName) {
setMetricName(metricName);
return this;
}
/**
*
* The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
*
*
* @param metricName
* The name of the metric with the best result. For a description of the possible objective metrics, see
* AutoMLJobObjective$MetricName.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLMetricEnum
*/
public FinalAutoMLJobObjectiveMetric withMetricName(AutoMLMetricEnum metricName) {
this.metricName = metricName.toString();
return this;
}
/**
*
* The value of the metric with the best result.
*
*
* @param value
* The value of the metric with the best result.
*/
public void setValue(Float value) {
this.value = value;
}
/**
*
* The value of the metric with the best result.
*
*
* @return The value of the metric with the best result.
*/
public Float getValue() {
return this.value;
}
/**
*
* The value of the metric with the best result.
*
*
* @param value
* The value of the metric with the best result.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public FinalAutoMLJobObjectiveMetric withValue(Float value) {
setValue(value);
return this;
}
/**
*
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
*
*
* @param standardMetricName
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
* @see AutoMLMetricEnum
*/
public void setStandardMetricName(String standardMetricName) {
this.standardMetricName = standardMetricName;
}
/**
*
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
*
*
* @return The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
* @see AutoMLMetricEnum
*/
public String getStandardMetricName() {
return this.standardMetricName;
}
/**
*
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
*
*
* @param standardMetricName
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLMetricEnum
*/
public FinalAutoMLJobObjectiveMetric withStandardMetricName(String standardMetricName) {
setStandardMetricName(standardMetricName);
return this;
}
/**
*
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
*
*
* @param standardMetricName
* The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
* @return Returns a reference to this object so that method calls can be chained together.
* @see AutoMLMetricEnum
*/
public FinalAutoMLJobObjectiveMetric withStandardMetricName(AutoMLMetricEnum standardMetricName) {
this.standardMetricName = standardMetricName.toString();
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 (getType() != null)
sb.append("Type: ").append(getType()).append(",");
if (getMetricName() != null)
sb.append("MetricName: ").append(getMetricName()).append(",");
if (getValue() != null)
sb.append("Value: ").append(getValue()).append(",");
if (getStandardMetricName() != null)
sb.append("StandardMetricName: ").append(getStandardMetricName());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof FinalAutoMLJobObjectiveMetric == false)
return false;
FinalAutoMLJobObjectiveMetric other = (FinalAutoMLJobObjectiveMetric) obj;
if (other.getType() == null ^ this.getType() == null)
return false;
if (other.getType() != null && other.getType().equals(this.getType()) == false)
return false;
if (other.getMetricName() == null ^ this.getMetricName() == null)
return false;
if (other.getMetricName() != null && other.getMetricName().equals(this.getMetricName()) == false)
return false;
if (other.getValue() == null ^ this.getValue() == null)
return false;
if (other.getValue() != null && other.getValue().equals(this.getValue()) == false)
return false;
if (other.getStandardMetricName() == null ^ this.getStandardMetricName() == null)
return false;
if (other.getStandardMetricName() != null && other.getStandardMetricName().equals(this.getStandardMetricName()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getType() == null) ? 0 : getType().hashCode());
hashCode = prime * hashCode + ((getMetricName() == null) ? 0 : getMetricName().hashCode());
hashCode = prime * hashCode + ((getValue() == null) ? 0 : getValue().hashCode());
hashCode = prime * hashCode + ((getStandardMetricName() == null) ? 0 : getStandardMetricName().hashCode());
return hashCode;
}
@Override
public FinalAutoMLJobObjectiveMetric clone() {
try {
return (FinalAutoMLJobObjectiveMetric) 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.FinalAutoMLJobObjectiveMetricMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}
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