/* * 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 2 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, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */ /* * ResultMatrixPlainText.java * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand * */ package weka.experiment; import weka.core.RevisionUtils; import weka.core.Utils; /** * Generates the output as plain text (for fixed width fonts). *
* * 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: 0)* *
-row-name-width <int> * The maximum width for the row names (0 = optimal). * (default: 25)* *
-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: 5)* *
-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: 5346 $ */ public class ResultMatrixPlainText extends ResultMatrix { /** for serialization. */ private static final long serialVersionUID = 1502934525382357937L; /** * initializes the matrix as 1x1 matrix. */ public ResultMatrixPlainText() { this(1, 1); } /** * initializes the matrix with the given dimensions. * * @param cols the number of columns * @param rows the number of rows */ public ResultMatrixPlainText(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 ResultMatrixPlainText(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 the output as plain text (for fixed width fonts)."; } /** * returns the name of the output format. * * @return the display name */ public String getDisplayName() { return "Plain Text"; } /** * returns the default width for the row names. * * @return the width */ public int getDefaultRowNameWidth() { return 25; } /** * returns the default width for the counts. * * @return the width */ public int getDefaultCountWidth() { return 5; } /** * returns the header of the matrix as a string. * * @return the header * @see #m_HeaderKeys * @see #m_HeaderValues */ public String toStringHeader() { int i; int size; String[][] data; String result; result = ""; // fill in data data = new String[m_HeaderKeys.size()][2]; for (i = 0; i < m_HeaderKeys.size(); i++) { data[i][0] = m_HeaderKeys.get(i).toString() + ":"; data[i][1] = m_HeaderValues.get(i).toString(); } // pad size = getColSize(data, 0); for (i = 0; i < data.length; i++) data[i][0] = padString(data[i][0], size); // build result for (i = 0; i < data.length; i++) result += data[i][0] + " " + data[i][1] + "\n"; return result; } /** * returns the matrix as plain text. * * @return the matrix */ public String toStringMatrix() { StringBuffer result; String[][] cells; int i; int j; int n; int k; int size; String line; int indexBase; int indexSecond; StringBuffer head; StringBuffer body; StringBuffer foot; int[] startMeans; int[] startSigs; int maxLength; result = new StringBuffer(); head = new StringBuffer(); body = new StringBuffer(); foot = new StringBuffer(); cells = toArray(); startMeans = new int[getColCount()]; startSigs = new int[getColCount() - 1]; maxLength = 0; // pad numbers for (n = 1; n < cells[0].length; n++) { size = getColSize(cells, n, true, true); for (i = 1; i < cells.length - 1; i++) cells[i][n] = padString(cells[i][n], size, true); } // index of base column in array indexBase = 1; if (getShowStdDev()) indexBase++; // index of second column in array indexSecond = indexBase + 1; if (getShowStdDev()) indexSecond++; // output data (without "(v/ /*)") j = 0; k = 0; for (i = 1; i < cells.length - 1; i++) { if (isAverage(i)) body.append(padString("", maxLength).replaceAll(".", "-") + "\n"); line = ""; for (n = 0; n < cells[0].length; n++) { // record starts if (i == 1) { if (isMean(n)) { startMeans[j] = line.length(); j++; } if (isSignificance(n)) { startSigs[k] = line.length(); k++; } } if (n == 0) { line += padString(cells[i][n], getRowNameWidth()); if (!isAverage(i)) line += padString("(" + Utils.doubleToString(getCount(getDisplayRow(i-1)), 0) + ")", getCountWidth(), true); else line += padString("", getCountWidth(), true); } else { // additional space before means if (isMean(n)) line += " "; // print cell if (getShowStdDev()) { if (isMean(n - 1)) { if (!cells[i][n].trim().equals("")) line += "(" + cells[i][n] + ")"; else line += " " + cells[i][n] + " "; } else line += " " + cells[i][n]; } else { line += " " + cells[i][n]; } } // add separator after base column if (n == indexBase) line += " |"; } // record overall length if (i == 1) maxLength = line.length(); body.append(line + "\n"); } // column names line = padString(cells[0][0], startMeans[0]); i = -1; for (n = 1; n < cells[0].length; n++) { if (isMean(n)) { i++; if (i == 0) line = padString(line, startMeans[i] - getCountWidth()); else if (i == 1) line = padString(line, startMeans[i] - " |".length()); else if (i > 1) line = padString(line, startMeans[i]); if (i == 1) line += " |"; line += " " + cells[0][n]; } } line = padString(line, maxLength); head.append(line + "\n"); head.append(line.replaceAll(".", "-") + "\n"); body.append(line.replaceAll(".", "-") + "\n"); // output wins/losses/ties if (getColCount() > 1) { line = padString(cells[cells.length - 1][0], startMeans[1]-2, true) + " |"; i = 0; for (n = 1; n < cells[cells.length - 1].length; n++) { if (isSignificance(n)) { line = padString( line, startSigs[i] + 1 - cells[cells.length - 1][n].length()); line += " " + cells[cells.length - 1][n]; i++; } } line = padString(line, maxLength); } else { line = padString(cells[cells.length - 1][0], line.length() - 2) + " |"; } foot.append(line + "\n"); // assemble output result.append(head.toString()); result.append(body.toString()); result.append(foot.toString()); 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() { String result; int i; result = "Key:\n"; for (i = 0; i < getColCount(); i++) { if (getColHidden(i)) continue; result += LEFT_PARENTHESES + (i+1) + RIGHT_PARENTHESES + " " + removeFilterName(m_ColNames[i]) + "\n"; } return result; } /** * returns the summary as string. * * @return the summary */ public String toStringSummary() { String result; String titles; int resultsetLength; int i; int j; if (m_NonSigWins == null) return "-summary data not set-"; result = ""; titles = ""; resultsetLength = 1 + Math.max((int)(Math.log(getColCount())/Math.log(10)), (int)(Math.log(getRowCount())/Math.log(10))); for (i = 0; i < getColCount(); i++) { if (getColHidden(i)) continue; titles += " " + Utils.padLeft("" + getSummaryTitle(i), resultsetLength * 2 + 3); } result += titles + " (No. of datasets where [col] >> [row])\n"; for (i = 0; i < getColCount(); i++) { if (getColHidden(i)) continue; for (j = 0; j < getColCount(); j++) { if (getColHidden(j)) continue; result += " "; if (j == i) result += Utils.padLeft("-", resultsetLength * 2 + 3); else result += Utils.padLeft("" + m_NonSigWins[i][j] + " (" + m_Wins[i][j] + ")", resultsetLength * 2 + 3); } result += " | " + getSummaryTitle(i) + " = " + getColName(i) + '\n'; } return result; } /** * returns the ranking in a string representation. * * @return the ranking */ public String toStringRanking() { int biggest; int width; String result; int[] ranking; int i; int curr; if (m_RankingWins == null) return "-ranking data not set-"; biggest = Math.max(m_RankingWins[Utils.maxIndex(m_RankingWins)], m_RankingLosses[Utils.maxIndex(m_RankingLosses)]); width = Math.max(2 + (int)(Math.log(biggest) / Math.log(10)), ">-<".length()); result = Utils.padLeft(">-<", width) + ' ' + Utils.padLeft(">", width) + ' ' + Utils.padLeft("<", width) + " Resultset\n"; ranking = Utils.sort(m_RankingDiff); for (i = getColCount() - 1; i >= 0; i--) { curr = ranking[i]; if (getColHidden(curr)) continue; result += Utils.padLeft("" + m_RankingDiff[curr], width) + ' ' + Utils.padLeft("" + m_RankingWins[curr], width) + ' ' + Utils.padLeft("" + m_RankingLosses[curr], width) + ' ' + removeFilterName(m_ColNames[curr]) + '\n'; } return result; } /** * Returns the revision string. * * @return the revision */ public String getRevision() { return RevisionUtils.extract("$Revision: 5346 $"); } /** * for testing only. * * @param args ignored */ public static void main(String[] args) { ResultMatrix matrix; int i; int n; matrix = new ResultMatrixPlainText(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()); } }