Java tutorial
/* * (c) 2005 David B. Bracewell * * 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 com.davidbracewell.math.distribution; import com.google.common.base.Preconditions; import org.apache.commons.math3.random.RandomGenerator; import org.apache.commons.math3.random.Well19937c; import org.apache.mahout.math.map.OpenIntDoubleHashMap; import java.util.Objects; /** * <p> * A Multinomial probability distribution to determine the probability of a * discrete event. * </p> * * @author David B. Bracewell */ public class Multinomial extends Distribution { private static final long serialVersionUID = 2307484424728502704L; protected final OpenIntDoubleHashMap probabilities; protected final RandomGenerator random = new Well19937c(); /** * Default Constructor * * @param probabilities The probability of each of the discrete events * @param defaultProb The default probability */ public Multinomial(OpenIntDoubleHashMap probabilities, double defaultProb) { super(defaultProb); this.probabilities = Preconditions.checkNotNull(probabilities); this.probabilities.trimToSize(); } @Override public double probability(double x) { if (probabilities.containsKey((int) x)) { return probabilities.get((int) x); } return defaultProbability; } @Override public String toString() { return "Multinomial{" + probabilities + "}"; } @Override public int hashCode() { return Objects.hash(probabilities, defaultProbability); } @Override public boolean equals(Object obj) { if (this == obj) { return true; } if (obj == null || getClass() != obj.getClass()) { return false; } final Multinomial other = (Multinomial) obj; return Objects.equals(this.probabilities, other.probabilities) && Objects.equals(this.defaultProbability, other.defaultProbability); } @Override public double sample() { double v = random.nextDouble(); double total = 0; int[] keys = probabilities.keys().elements(); for (int i : keys) { total += probabilities.get(i); if (v < total) { return i; } } return probabilities.get(keys[keys.length - 1]); } }//END OF Multinomial