source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDtrainMarkovModel.java @ 183

package de.ugoe.cs.eventbench.commands;

import java.security.InvalidParameterException;
import java.util.List;
import java.util.Random;

import de.ugoe.cs.eventbench.data.Event;
import de.ugoe.cs.eventbench.data.GlobalDataContainer;
import de.ugoe.cs.eventbench.models.FirstOrderMarkovModel;
import de.ugoe.cs.eventbench.models.HighOrderMarkovModel;
import de.ugoe.cs.util.console.Command;
import de.ugoe.cs.util.console.Console;

/**
 * <p>
 * Command to train first-order and high-order Markov models.
 * </p>
 * 
 * @author Steffen Herbold
 * @version 1.0
 */
public class CMDtrainMarkovModel implements Command {

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

        /*
         * (non-Javadoc)
         * 
         * @see de.ugoe.cs.util.console.Command#run(java.util.List)
         */
        @SuppressWarnings("unchecked")
        @Override
        public void run(List<Object> parameters) {
                String modelname;
                int order = 1;
                try {
                        modelname = (String) parameters.get(0);
                        if (parameters.size() == 2) {
                                order = Integer.parseInt((String) parameters.get(1));
                        }
                } catch (Exception e) {
                        throw new InvalidParameterException();
                }

                List<List<Event<?>>> sequences = null;
                Object dataObject = GlobalDataContainer.getInstance().getData(
                                "sequences");

                try {
                        sequences = (List<List<Event<?>>>) dataObject;
                        if (sequences.size() > 0) {
                                if (sequences.get(0).get(0) instanceof Event) {
                                        HighOrderMarkovModel model;
                                        if (order == 1) {
                                                model = new FirstOrderMarkovModel(new Random());
                                        } else {
                                                model = new HighOrderMarkovModel(order, new Random());
                                        }
                                        model.train(sequences);
                                        if (GlobalDataContainer.getInstance().addData(modelname,
                                                        model)) {
                                                Console.traceln("Old data \"" + modelname
                                                                + "\" overwritten");
                                        }
                                } else {
                                        Console.traceln("Illegal use of \"sequences\" parameter in the GlobalDataContainer.");
                                        Console.traceln("The parameter should always be of type List<List<Event>>!");
                                }
                        }
                } catch (ClassCastException e) {
                        Console.println("Sequences need to be loaded first using parseXML");
                }
        }

}