// 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.PredictionByPartialMatch; import de.ugoe.cs.autoquest.usageprofiles.TrieBasedModel; /** *
* Command that trains Prediction by Partial Match (PPM) models. *
* * @author Steffen Herbold * @version 2.0 */ public class CMDtrainPPM extends AbstractTrainCommand { /** ** Escape probability of the PPM model. *
*/ double probEscape; /** ** Maximal Markov order of the PPM model. *
*/ int maxOrder; /** ** Minimal Markov order of the PPM model. Default: 0 *
*/ int minOrder = 0; /* * (non-Javadoc) * * @see de.ugoe.cs.util.console.Command#help() */ @Override public String help() { return "trainPPM* Handles the parameters probEscape, maxOrder, and minOrder. *
* * @see de.ugoe.cs.autoquest.commands.usage.AbstractTrainCommand#handleOptionalParameters(java.util.List) */ @Override void handleAdditionalParameters(List