/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2008 by Rapid-I and the contributors
 *
 *  Complete list of developers available at our web site:
 *
 *       http://rapid-i.com
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Affero 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 Affero General Public License for more details.
 *
 *  You should have received a copy of the GNU Affero General Public License
 *  along with this program.  If not, see http://www.gnu.org/licenses/.
 */
package com.rapidminer.datatable;

import com.rapidminer.operator.learner.functions.kernel.KernelModel;

/**
 * This class wraps the data row of a kernel model.
 * 
 * @author Ingo Mierswa
 * @version $Id: KernelModelRow2DataTableRowWrapper.java,v 1.3 2008/05/09 19:23:16 ingomierswa Exp $
 */
public class KernelModelRow2DataTableRowWrapper implements DataTableRow {

	static final String[] SPECIAL_COLUMN_NAMES = {
		"counter",
		"label",
		"function value",
		"alpha",
		"abs(alpha)",
		"support vector"
	};
		
	public static final int COUNTER = 0;
	public static final int LABEL = 1;	
	public static final int FUNCTION_VALUE = 2;
	public static final int ALPHA = 3;
	public static final int ABS_ALPHA = 4;
	public static final int SUPPORT_VECTOR = 5;
	
	public static final int NUMBER_OF_SPECIAL_COLUMNS = 6;
	
	private KernelModel kernelModel;
	private DataTableKernelModelAdapter adapter;
	private int index;
	
	public KernelModelRow2DataTableRowWrapper(KernelModel kernelModel, DataTableKernelModelAdapter adapter, int index) {
		this.kernelModel = kernelModel;
		this.adapter = adapter;
		this.index = index;
	}
	
	public String getId() { return this.kernelModel.getId(index); } 
	
	public int getNumberOfValues() { 
		return kernelModel.getNumberOfAttributes() + NUMBER_OF_SPECIAL_COLUMNS;
	}
	
	public double getValue(int column) {
		switch (column) {
		case COUNTER: return index;
		case LABEL:
			if (this.kernelModel.isClassificationModel()) {
				String label = this.kernelModel.getClassificationLabel(index);
				return adapter.mapString(LABEL, label);
			} else {
				return this.kernelModel.getRegressionLabel(index);
			}
		case FUNCTION_VALUE: return this.kernelModel.getFunctionValue(index); 
		case ALPHA: return this.kernelModel.getAlpha(index);
		case ABS_ALPHA: return Math.abs(this.kernelModel.getAlpha(index));
		case SUPPORT_VECTOR: return Math.abs(this.kernelModel.getAlpha(index)) != 0.0d ? 1 : 0;
		default:
			return this.kernelModel.getAttributeValue(index, column - NUMBER_OF_SPECIAL_COLUMNS);
		}
	}
}