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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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/*
 *   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 .
 */

/*
 * ResultMatrixGnuPlot.java
 * Copyright (C) 2005-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.experiment;

import weka.core.RevisionUtils;
import weka.core.Utils;
import weka.core.Version;

/**
 
 * Generates output for a data and script file for GnuPlot.
 * 

* * Valid options are:

* *

 -mean-prec <int>
 *  The number of decimals after the decimal point for the mean.
 *  (default: 2)
* *
 -stddev-prec <int>
 *  The number of decimals after the decimal point for the mean.
 *  (default: 2)
* *
 -col-name-width <int>
 *  The maximum width for the column names (0 = optimal).
 *  (default: 50)
* *
 -row-name-width <int>
 *  The maximum width for the row names (0 = optimal).
 *  (default: 50)
* *
 -mean-width <int>
 *  The width of the mean (0 = optimal).
 *  (default: 0)
* *
 -stddev-width <int>
 *  The width of the standard deviation (0 = optimal).
 *  (default: 0)
* *
 -sig-width <int>
 *  The width of the significance indicator (0 = optimal).
 *  (default: 0)
* *
 -count-width <int>
 *  The width of the counts (0 = optimal).
 *  (default: 0)
* *
 -show-stddev
 *  Whether to display the standard deviation column.
 *  (default: no)
* *
 -show-avg
 *  Whether to show the row with averages.
 *  (default: no)
* *
 -remove-filter
 *  Whether to remove the classname package prefixes from the
 *  filter names in datasets.
 *  (default: no)
* *
 -print-col-names
 *  Whether to output column names or just numbers representing them.
 *  (default: no)
* *
 -print-row-names
 *  Whether to output row names or just numbers representing them.
 *  (default: no)
* *
 -enum-col-names
 *  Whether to enumerate the column names (prefixing them with 
 *  '(x)', with 'x' being the index).
 *  (default: no)
* *
 -enum-row-names
 *  Whether to enumerate the row names (prefixing them with 
 *  '(x)', with 'x' being the index).
 *  (default: no)
* * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 8034 $ */ public class ResultMatrixGnuPlot extends ResultMatrix { /** for serialization. */ private static final long serialVersionUID = -234648254944790097L; /** * initializes the matrix as 1x1 matrix. */ public ResultMatrixGnuPlot() { this(1, 1); } /** * initializes the matrix with the given dimensions. * * @param cols the number of columns * @param rows the number of rows */ public ResultMatrixGnuPlot(int cols, int rows) { super(cols, rows); } /** * initializes the matrix with the values from the given matrix. * * @param matrix the matrix to get the values from */ public ResultMatrixGnuPlot(ResultMatrix matrix) { super(matrix); } /** * Returns a string describing the matrix. * * @return a description suitable for * displaying in the experimenter gui */ public String globalInfo() { return "Generates output for a data and script file for GnuPlot."; } /** * returns the name of the output format. * * @return the display name */ public String getDisplayName() { return "GNUPlot"; } /** * removes the stored data but retains the dimensions of the matrix. */ public void clear() { super.clear(); LEFT_PARENTHESES = ""; RIGHT_PARENTHESES = ""; } /** * returns the default width for the row names. * * @return the width */ public int getDefaultRowNameWidth() { return 50; } /** * returns the default width for the column names. * * @return the width */ public int getDefaultColNameWidth() { return 50; } /** * returns the default of whether column names are prefixed with the index. * * @return true if the names are prefixed */ public boolean getDefaultEnumerateColNames() { return false; } /** * returns the default of whether row names are prefixed with the index. * * @return true if the names are prefixed */ public boolean getDefaultEnumerateRowNames() { return false; } /** * returns the header of the matrix as a string. * * @return the header * @see #m_HeaderKeys * @see #m_HeaderValues */ public String toStringHeader() { return new ResultMatrixPlainText(this).toStringHeader(); } /** * returns the matrix in CSV format. * * @return the matrix */ public String toStringMatrix() { StringBuffer result; String[][] cells; int i; int n; String line; String title; String generated; result = new StringBuffer(); cells = toArray(); // generation comment generated = "# generated by WEKA " + Version.VERSION + "\n"; // data result.append("\n"); result.append("##################\n"); result.append("# file: plot.dat #\n"); result.append("##################\n"); result.append(generated); result.append("# contains the data for the plot\n"); // key for x-axis result.append("\n"); result.append("# key for the x-axis\n"); for (i = 1; i < cells.length - 1; i++) result.append("# " + i + " - " + cells[i][0] + "\n"); // the data itself result.append("\n"); result.append("# data for the plot\n"); for (i = 1; i < cells.length - 1; i++) { result.append(Integer.toString(i)); for (n = 1; n < cells[i].length; n++) { if (isSignificance(n)) continue; result.append(" "); result.append(Utils.quote(cells[i][n])); } result.append("\n"); } result.append("#######\n"); result.append("# end #\n"); result.append("#######\n"); // script result.append("\n"); result.append("##################\n"); result.append("# file: plot.scr #\n"); result.append("##################\n"); result.append(generated); result.append("# script to plot the data\n"); result.append("\n"); result.append("# display it in a window:\n"); result.append("set terminal x11\n"); result.append("set output\n"); result.append("\n"); result.append("# to display all data rows:\n"); result.append("set xrange [0:" + ((cells.length - 2) + 1) + "]\n"); result.append("\n"); result.append("# axis labels, e.g.:\n"); result.append("#set xlabel \"Datasets\"\n"); result.append("#set ylabel \"Accuracy in %\"\n"); result.append("\n"); result.append("# the plot commands\n"); n = 1; i = 0; while (i < cells[0].length - 1) { i++; if (isSignificance(i)) continue; n++; // plot if (i == 1) line = "plot"; else line = "replot"; line += " \"plot.dat\""; // title title = "title \"" + cells[0][i] + "\""; // columns line += " using 1:" + n; if (getShowStdDev()) { n++; i++; // errorbars line += ":" + n; } // options line += " with"; if (getShowStdDev()) line += " yerrorbars"; else line += " lines"; line += " " + title; result.append(line + "\n"); } result.append("\n"); result.append("# generate ps:\n"); result.append("#set terminal postscript\n"); result.append("#set output \"plot.ps\"\n"); result.append("#replot\n"); result.append("\n"); result.append("# generate png:\n"); result.append("#set terminal png size 800,600\n"); result.append("#set output \"plot.png\"\n"); result.append("#replot\n"); result.append("\n"); result.append("# wait for user to hit \n"); result.append("pause -1\n"); result.append("#######\n"); result.append("# end #\n"); result.append("#######\n"); return result.toString(); } /** * returns returns a key for all the col names, for better readability if * the names got cut off. * * @return the key */ public String toStringKey() { return new ResultMatrixPlainText(this).toStringKey(); } /** * returns the summary as string. * * @return the summary */ public String toStringSummary() { return new ResultMatrixPlainText(this).toStringSummary(); } /** * returns the ranking in a string representation. * * @return the ranking */ public String toStringRanking() { return new ResultMatrixPlainText(this).toStringRanking(); } /** * Returns the revision string. * * @return the revision */ public String getRevision() { return RevisionUtils.extract("$Revision: 8034 $"); } /** * for testing only. * * @param args ignored */ public static void main(String[] args) { ResultMatrix matrix; int i; int n; matrix = new ResultMatrixGnuPlot(3, 3); // set header matrix.addHeader("header1", "value1"); matrix.addHeader("header2", "value2"); matrix.addHeader("header2", "value3"); // set values for (i = 0; i < matrix.getRowCount(); i++) { for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS); } } } System.out.println("\n\n--> " + matrix.getDisplayName()); System.out.println("\n1. complete\n"); System.out.println(matrix.toStringHeader() + "\n"); System.out.println(matrix.toStringMatrix() + "\n"); System.out.println(matrix.toStringKey()); System.out.println("\n2. complete with std deviations\n"); matrix.setShowStdDev(true); System.out.println(matrix.toStringMatrix()); System.out.println("\n3. cols numbered\n"); matrix.setPrintColNames(false); System.out.println(matrix.toStringMatrix()); System.out.println("\n4. second col missing\n"); matrix.setColHidden(1, true); System.out.println(matrix.toStringMatrix()); System.out.println("\n5. last row missing, rows numbered too\n"); matrix.setRowHidden(2, true); matrix.setPrintRowNames(false); System.out.println(matrix.toStringMatrix()); System.out.println("\n6. mean prec to 3\n"); matrix.setMeanPrec(3); matrix.setPrintRowNames(false); System.out.println(matrix.toStringMatrix()); } }




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