source: trunk/EventBenchConsole/src/de/ugoe/cs/eventbench/commands/CMDtrainMarkovModel.java @ 75

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;

public class CMDtrainMarkovModel implements Command {

        @Override
        public void help() {
                Console.println("Usage: trainMarkovModel <modelName> {<order>}");
        }

        @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(0));
                        }
                } 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 model 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");
                }
        }

}