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Apache Ignite® is a Distributed Database For High-Performance Computing With In-Memory Speed.
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.apache.ignite.ml.nn.initializers;
import java.util.Random;
import org.apache.ignite.ml.math.Matrix;
import org.apache.ignite.ml.math.Vector;
/**
* Class for initialization of MLP parameters with random uniformly distributed numbers from -1 to 1.
*/
public class RandomInitializer implements MLPInitializer {
/**
* RNG.
*/
private final Random rnd;
/**
* Construct RandomInitializer from given RNG.
*
* @param rnd RNG.
*/
public RandomInitializer(Random rnd) {
this.rnd = rnd;
}
/**
* Constructs RandomInitializer with the given seed.
*
* @param seed Seed.
*/
public RandomInitializer(long seed) {
this.rnd = new Random(seed);
}
/**
* Constructs RandomInitializer with random seed.
*/
public RandomInitializer() {
this.rnd = new Random();
}
/** {@inheritDoc} */
@Override public void initWeights(Matrix weights) {
weights.map(value -> 2 * (rnd.nextDouble() - 0.5));
}
/** {@inheritDoc} */
@Override public void initBiases(Vector biases) {
biases.map(value -> 2 * (rnd.nextDouble() - 0.5));
}
}
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