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

import com.rapidminer.gui.renderer.AbstractTableModelTableRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.learner.functions.LinearRegressionModel;

/**
 * Renderer for the linear regression model.
 * 
 * @author Simon Fischer, Ingo Mierswa
 */
public class LinearRegressionModelTableRenderer extends AbstractTableModelTableRenderer {

    private static class LinearRegressionModelTableModel extends AbstractTableModel {

        private static final long serialVersionUID = -2112928170124291591L;

        private final LinearRegressionModel model;

        public LinearRegressionModelTableModel(LinearRegressionModel model) {
            this.model = model;
        }

        @Override
        public int getColumnCount() {
            return 8;
        }

        @Override
        public Class<?> getColumnClass(int columnIndex) {
            switch (columnIndex) {
            case 0:
                return String.class;
            default:
                return Double.class;
            }
        }

        @Override
        public String getColumnName(int columnIndex) {
            switch (columnIndex) {
            case 0:
                return "Attribute";
            case 1:
                return "Coefficient";
            case 2:
                return "Std. Error";
            case 3:
                return "Std. Coefficient";
            case 4:
                return "Tolerance";
            case 5:
                return "t-Stat";
            case 6:
                return "p-Value";
            case 7:
                return "Code";
            }
            return null;
        }

        @Override
        public int getRowCount() {
            return model.getCoefficients().length - (model.usesIntercept() ? 0 : 1);
        }

        @Override
        public Object getValueAt(int rowIndex, int columnIndex) {
            switch (columnIndex) {
            case 0:
                if (model.usesIntercept() && rowIndex == model.getCoefficients().length - 1) {
                    return "(Intercept)";
                } else {
                    return model.getSelectedAttributeNames()[rowIndex];
                }
            case 1:
                return model.getCoefficients()[rowIndex];
            case 2:
                return model.getStandardErrors()[rowIndex];
            case 3:
                return model.getStandardizedCoefficients()[rowIndex];
            case 4:
                return model.getTolerances()[rowIndex];
            case 5:
                return model.getTStats()[rowIndex];
            case 6:
                return model.getProbabilities()[rowIndex];
            case 7:
                double prob = model.getProbabilities()[rowIndex];
                if (prob < 0.001)
                    return "****";
                else if (prob < 0.01)
                    return "***";
                else if (prob < 0.05)
                    return "**";
                else if (prob < 0.1)
                    return "*";
                else
                    return "";
            }
            return null;
        }
    }

    @Override
    public TableModel getTableModel(Object renderable, IOContainer ioContainer, boolean isReporting) {
        return new LinearRegressionModelTableModel((LinearRegressionModel) renderable);
    }
}