/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2011 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.gui.renderer.models;

import java.util.List;

import javax.swing.table.AbstractTableModel;
import javax.swing.table.TableModel;

import com.rapidminer.gui.renderer.AbstractTableModelTableRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.features.transformation.AbstractEigenvectorModel;
import com.rapidminer.operator.features.transformation.ComponentVector;
import com.rapidminer.tools.Tools;

/**
 * This is an renderer for {@link AbstractEigenvectorModel}s. It shows the
 * EigenValues in a table view.
 * 
 * @author Sebastian Land
 */
public class EigenvectorModelEigenvalueRenderer extends AbstractTableModelTableRenderer {

    public static class EigenvalueTableModel extends AbstractTableModel {

        private static final long serialVersionUID = -9026248524043239399L;

        private double varianceSum;

        private double[] cumulativeVariance;

        private List<? extends ComponentVector> eigenVectors;

        public EigenvalueTableModel(List<? extends ComponentVector> eigenVectors, double[] cumulativeVariance, double varianceSum) {
            this.eigenVectors = eigenVectors;
            this.cumulativeVariance = cumulativeVariance;
            this.varianceSum = varianceSum;
        }

        @Override
        public int getColumnCount() {
            return 4;
        }

        @Override
        public int getRowCount() {
            return eigenVectors.size();
        }

        @Override
        public Object getValueAt(int rowIndex, int columnIndex) {
            switch (columnIndex) {
            case 0: return "PC " + (rowIndex + 1);
            case 1: return Tools.formatNumber(Math.sqrt(eigenVectors.get(rowIndex).getEigenvalue()));
            case 2: return Tools.formatNumber(eigenVectors.get(rowIndex).getEigenvalue() / this.varianceSum);
            case 3: return Tools.formatNumber(cumulativeVariance[rowIndex]);
            default: return "unknown";
            }
        }

        @Override
        public String getColumnName(int column) {
            switch (column) {
            case 0: return "Component";
            case 1: return "Standard Deviation";
            case 2: return "Proportion of Variance";
            case 3: return "Cumulative Variance";
            default: return "unknown";
            }
        }

    }

    @Override
    public String getName() {
        return "Eigenvalues";
    }

    @Override
    public TableModel getTableModel(Object renderable, IOContainer ioContainer, boolean isReporting) {
        AbstractEigenvectorModel model = (AbstractEigenvectorModel) renderable;
        return model.getEigenvalueTableModel();
    }
}