/* * 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.sagemaker.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *

* Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to * evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest * value for this metric, depending on the value you specify for the Type parameter. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class HyperParameterTuningJobObjective implements Serializable, Cloneable, StructuredPojo { /** *

* Whether to minimize or maximize the objective metric. *

*/ private String type; /** *

* The name of the metric to use for the objective metric. *

*/ private String metricName; /** *

* Whether to minimize or maximize the objective metric. *

* * @param type * Whether to minimize or maximize the objective metric. * @see HyperParameterTuningJobObjectiveType */ public void setType(String type) { this.type = type; } /** *

* Whether to minimize or maximize the objective metric. *

* * @return Whether to minimize or maximize the objective metric. * @see HyperParameterTuningJobObjectiveType */ public String getType() { return this.type; } /** *

* Whether to minimize or maximize the objective metric. *

* * @param type * Whether to minimize or maximize the objective metric. * @return Returns a reference to this object so that method calls can be chained together. * @see HyperParameterTuningJobObjectiveType */ public HyperParameterTuningJobObjective withType(String type) { setType(type); return this; } /** *

* Whether to minimize or maximize the objective metric. *

* * @param type * Whether to minimize or maximize the objective metric. * @return Returns a reference to this object so that method calls can be chained together. * @see HyperParameterTuningJobObjectiveType */ public HyperParameterTuningJobObjective withType(HyperParameterTuningJobObjectiveType type) { this.type = type.toString(); return this; } /** *

* The name of the metric to use for the objective metric. *

* * @param metricName * The name of the metric to use for the objective metric. */ public void setMetricName(String metricName) { this.metricName = metricName; } /** *

* The name of the metric to use for the objective metric. *

* * @return The name of the metric to use for the objective metric. */ public String getMetricName() { return this.metricName; } /** *

* The name of the metric to use for the objective metric. *

* * @param metricName * The name of the metric to use for the objective metric. * @return Returns a reference to this object so that method calls can be chained together. */ public HyperParameterTuningJobObjective withMetricName(String metricName) { setMetricName(metricName); 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()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof HyperParameterTuningJobObjective == false) return false; HyperParameterTuningJobObjective other = (HyperParameterTuningJobObjective) 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; 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()); return hashCode; } @Override public HyperParameterTuningJobObjective clone() { try { return (HyperParameterTuningJobObjective) 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.HyperParameterTuningJobObjectiveMarshaller.getInstance().marshall(this, protocolMarshaller); } }