/* * 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.data; import java.util.Collection; /** * A sequence set is a collection of data sets. Where each individual data set * is one "unbroken sequence" within the sequence set. This allows individual * observations to occur individually, indicating a break between them. * * The sequence set, itself, is a data set, so it can be used with any Encog * trainer. However, not all trainers are aware of sequence sets. Further, some * machine learning methods are unaffected by them. Sequence sets are typically * used with Hidden Markov Models (HMM)'s. */ public interface MLSequenceSet extends MLDataSet { /** * Cause a "break" in the data by creating a the beginning of a new sequence. */ void startNewSequence(); /** * @return Get a count of the number of sequences. */ int getSequenceCount(); /** * Get an individual sequence. * @param i The index of the sequence. * @return The sequence. */ MLDataSet getSequence(int i); /** * @return A list of all of the sequences. */ Collection<MLDataSet> getSequences(); /** * Add a new sequence. * @param sequence The sequence to add. */ void add(MLDataSet sequence); }