/*
* 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);
}