/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.ml.hmm.distributions; import java.io.Serializable; import org.encog.ml.data.MLDataPair; import org.encog.ml.data.MLDataSet; /** * This class represents a "state distribution". This is the means by which the * probabilities between the states and observations are mapped. Currently two * are supported. Use ContinousDistribution to use a Gaussian-based continuous * distribution. Use DiscreteDistribution for a item-based distribution. * */ public interface StateDistribution extends Cloneable, Serializable { /** * @return A clone of this distribution. */ StateDistribution clone(); /** * Fit this distribution to the specified data set. * * @param set * The data set to fit to. */ void fit(MLDataSet set); /** * Fit this distribution to the specified data set, given the specified * weights, per element. * * @param set * The data set to fit to. * @param weights * The weights. */ void fit(MLDataSet set, double[] weights); /** * Generate a random data pair, based on the probabilities. * * @return A random data pair. */ MLDataPair generate(); /** * Determine the probability of the specified data pair. * @param o The pair to consider. * @return The probability. */ double probability(MLDataPair o); }