// Copyright 2012 Georg-August-Universität Göttingen, Germany // // 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. package de.ugoe.cs.autoquest.commands.usage; import java.util.List; import java.util.Random; import de.ugoe.cs.autoquest.usageprofiles.FirstOrderMarkovModel; import de.ugoe.cs.autoquest.usageprofiles.HighOrderMarkovModel; import de.ugoe.cs.autoquest.usageprofiles.TrieBasedModel; /** *

* Command to train first-order and high-order Markov models. *

* * @author Steffen Herbold * @version 2.0 */ public class CMDtrainMarkovModel extends AbstractTrainCommand { /** *

* Order of the Markov model. *

*/ int order; /* * (non-Javadoc) * * @see de.ugoe.cs.util.console.Command#help() */ @Override public String help() { return "trainMarkovModel {}"; } /** *

* Handles the parameter order. *

* * @see de.ugoe.cs.autoquest.commands.usage.AbstractTrainCommand#handleOptionalParameters(java.util.List) */ @Override void handleAdditionalParameters(List parameters) throws Exception { if (parameters.size() >= 3) { order = Integer.parseInt((String) parameters.get(2)); } else { order = 1; } } /* * (non-Javadoc) * * @see de.ugoe.cs.autoquest.ui.commands.AbstractTrainCommand#createModel() */ @Override TrieBasedModel createModel() { if (order == 1) { return new FirstOrderMarkovModel(new Random()); } else { return new HighOrderMarkovModel(order, new Random()); } } }