source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDtrainMarkovModel.java @ 395

package de.ugoe.cs.eventbench.commands;

import java.util.List;
import java.util.Random;

import de.ugoe.cs.eventbench.models.FirstOrderMarkovModel;
import de.ugoe.cs.eventbench.models.HighOrderMarkovModel;
import de.ugoe.cs.eventbench.models.TrieBasedModel;
import de.ugoe.cs.util.console.Console;

/**
 * <p>
 * Command to train first-order and high-order Markov models.
 * </p>
 * 
 * @author Steffen Herbold
 * @version 2.0
 */
public class CMDtrainMarkovModel extends AbstractTrainCommand {

        /**
         * <p>
         * Order of the Markov model.
         * </p>
         */
        int order;

        /*
         * (non-Javadoc)
         * 
         * @see de.ugoe.cs.util.console.Command#help()
         */
        @Override
        public void help() {
                Console.println("Usage: trainMarkovModel <modelName> <sequencesName> {<order>}");
        }

        /**
         * <p>
         * Handles the parameter order.
         * </p>
         * 
         * @see de.ugoe.cs.eventbench.commands.AbstractTrainCommand#handleOptionalParameters(java.util.List)
         */
        @Override
        void handleAdditionalParameters(List<Object> parameters) throws Exception {
                if (parameters.size() >= 3) {
                        order = Integer.parseInt((String) parameters.get(2));
                } else {
                        order = 1;
                }
        }

        /*
         * (non-Javadoc)
         * 
         * @see de.ugoe.cs.eventbench.commands.AbstractTrainCommand#createModel()
         */
        @Override
        TrieBasedModel createModel() {
                if (order == 1) {
                        return new FirstOrderMarkovModel(new Random());
                } else {
                        return new HighOrderMarkovModel(order, new Random());
                }
        }

}