org.openml.webapplication.generatefolds.ArffMapping.java Source code

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Here is the source code for org.openml.webapplication.generatefolds.ArffMapping.java

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/*
 *  Webapplication - Java library that runs on OpenML servers
 *  Copyright (C) 2014 
 *  @author Jan N. van Rijn (j.n.van.rijn@liacs.leidenuniv.nl)
 *  
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *  
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *  
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 *  
 */
package org.openml.webapplication.generatefolds;

import java.util.ArrayList;

import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instance;

public class ArffMapping {

    ArrayList<Attribute> attributes;

    public ArffMapping(boolean use_samples) {
        attributes = new ArrayList<Attribute>();

        ArrayList<String> att_type_values = new ArrayList<String>();
        att_type_values.add("TRAIN");
        att_type_values.add("TEST");

        Attribute type = new Attribute("type", att_type_values);
        Attribute rowid = new Attribute("rowid");
        Attribute fold = new Attribute("fold");
        Attribute repeat = new Attribute("repeat");

        attributes.add(type);
        attributes.add(rowid);
        attributes.add(repeat);
        attributes.add(fold);

        if (use_samples) {
            Attribute sample = new Attribute("sample");
            attributes.add(sample);
        }
    }

    public ArrayList<Attribute> getArffHeader() {
        return attributes;
    }

    public Instance createInstance(boolean train, int rowid, int repeat, int fold) {
        Instance instance = new DenseInstance(4);
        instance.setValue(attributes.get(0), train ? 0.0 : 1.0);
        instance.setValue(attributes.get(1), rowid);
        instance.setValue(attributes.get(2), repeat);
        instance.setValue(attributes.get(3), fold);

        return instance;
    }

    public Instance createInstance(boolean train, int rowid, int repeat, int fold, int sample) {
        Instance instance = new DenseInstance(5);
        instance.setValue(attributes.get(0), train ? 0.0 : 1.0);
        instance.setValue(attributes.get(1), rowid);
        instance.setValue(attributes.get(2), repeat);
        instance.setValue(attributes.get(3), fold);
        instance.setValue(attributes.get(4), sample);

        return instance;
    }

}