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/*
* Copyright 2020 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 ai.djl.training.hyperparameter.param;
/**
* A {@link Hyperparameter} with a known value instead of a range of possible values.
*
* {@link HpVal}s and {@link HpSet}s of {@link HpVal}s are used to represent sampled
* hyperparameters.
*
* @param the type of the value
*/
public class HpVal extends Hyperparameter {
T value;
/**
* Cosntructs a new {@link HpVal}.
*
* @param name the name of the hyperparameter
* @param value the fixed value of the hyperparameter
*/
public HpVal(String name, T value) {
super(name);
this.value = value;
}
/** {@inheritDoc} */
@Override
public T random() {
return value;
}
/** {@inheritDoc} */
@Override
public String toString() {
return "HPVal{" + "value=" + value + ", name='" + name + '\'' + '}';
}
}