org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory 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.nd4j.linalg.api.rng.distribution.factory;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.rng.distribution.Distribution;
import org.nd4j.linalg.api.rng.distribution.impl.*;
/**
* Default distribution factory
*
* @author Adam Gibson
*/
public class DefaultDistributionFactory implements DistributionFactory {
@Override
public Distribution createBinomial(int n, INDArray p) {
return new BinomialDistribution(n, p);
}
@Override
public Distribution createBinomial(int n, double p) {
return new BinomialDistribution(n, p);
}
@Override
public Distribution createNormal(INDArray mean, double std) {
return new NormalDistribution(mean, std);
}
@Override
public Distribution createNormal(double mean, double std) {
return new NormalDistribution(mean, std);
}
@Override
public Distribution createLogNormal(double mean, double std) {
return new LogNormalDistribution(mean, std);
}
@Override
public Distribution createTruncatedNormal(double mean, double std) {
return new TruncatedNormalDistribution(mean, std);
}
@Override
public Distribution createOrthogonal(double gain) {
return new OrthogonalDistribution(gain);
}
@Override
public Distribution createConstant(double value) {
return new ConstantDistribution(value);
}
@Override
public Distribution createUniform(double min, double max) {
return new UniformDistribution(min, max);
}
}