source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDtrainPPM.java @ 180

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.PredictionByPartialMatch;
import de.ugoe.cs.util.console.Command;
import de.ugoe.cs.util.console.Console;

/**
 * <p>
 * Command that trains Prediction by Partial Match (PPM) models.
 * </p>
 * 
 * @author Steffen Herbold
 * @version 1.0
 */
public class CMDtrainPPM implements Command {

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

        /*
         * (non-Javadoc)
         * 
         * @see de.ugoe.cs.util.console.Command#run(java.util.List)
         */
        @SuppressWarnings("unchecked")
        @Override
        public void run(List<Object> parameters) {
                String modelname;
                double probEscape;
                int maxOrder;
                int minOrder = 0;
                try {
                        modelname = (String) parameters.get(0);
                        probEscape = Double.parseDouble((String) parameters.get(1));
                        maxOrder = Integer.parseInt((String) parameters.get(2));
                        if (parameters.size() == 4) {
                                minOrder = Integer.parseInt((String) parameters.get(3));
                        }
                } 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) {
                                        PredictionByPartialMatch model = new PredictionByPartialMatch(
                                                        maxOrder, minOrder, new Random(), probEscape);
                                        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");
                }
        }

}