org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory Maven / Gradle / Ivy
/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://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.
*
*
*/
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.BinomialDistribution;
import org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution;
import org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution;
/**
* 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 createUniform(double min, double max) {
return new UniformDistribution(min, max);
}
}