org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.arbiter.adapter;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
import org.deeplearning4j.arbiter.optimize.api.adapter.ParameterSpaceAdapter;
import org.nd4j.linalg.lossfunctions.ILossFunction;
import org.nd4j.linalg.lossfunctions.LossFunctions;
import org.nd4j.shade.jackson.annotation.JsonProperty;
/**
* A simple class to adapt a {@link LossFunctions.LossFunction} parameter space to a {@link ILossFunction} parameter space
*
* @author Alex Black
*/
@Data
@NoArgsConstructor
@EqualsAndHashCode(callSuper = false)
public class LossFunctionParameterSpaceAdapter
extends ParameterSpaceAdapter {
private ParameterSpace lossFunction;
public LossFunctionParameterSpaceAdapter(
@JsonProperty("lossFunction") ParameterSpace lossFunction) {
this.lossFunction = lossFunction;
}
@Override
protected ILossFunction convertValue(LossFunctions.LossFunction from) {
return from.getILossFunction();
}
@Override
protected ParameterSpace underlying() {
return lossFunction;
}
@Override
protected String underlyingName() {
return "lossFunction";
}
}