org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution Maven / Gradle / Ivy
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* ******************************************************************************
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* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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
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* * under the License.
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* * SPDX-License-Identifier: Apache-2.0
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*/
package org.deeplearning4j.nn.conf.distribution;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.nd4j.shade.jackson.annotation.JsonCreator;
import org.nd4j.shade.jackson.annotation.JsonProperty;
/**
* Orthogonal distribution, with gain parameter.
* See https://arxiv.org/abs/1312.6120 for details
*
*/
@EqualsAndHashCode(callSuper = false)
@Data
public class OrthogonalDistribution extends Distribution {
private double gain;
/**
* Create a log-normal distribution
* with the given mean and std
*
* @param gain the gain
*/
@JsonCreator
public OrthogonalDistribution(@JsonProperty("gain") double gain) {
this.gain = gain;
}
public String toString() {
return "OrthogonalDistribution(gain=" + gain + ")";
}
}