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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* 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.
*/
/*
* ResultMatrixLatex.java
* Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
*
*/
package weka.experiment;
import weka.core.RevisionUtils;
import weka.core.Utils;
/**
* This matrix is a container for the datasets and classifier setups and
* their statistics. It outputs the matrix in Latex.
*
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision: 1.6 $
*/
public class ResultMatrixLatex
extends ResultMatrix {
/** for serialization */
private static final long serialVersionUID = 777690788447600978L;
/**
* initializes the matrix as 1x1 matrix
*/
public ResultMatrixLatex() {
this(1, 1);
}
/**
* initializes the matrix with the given dimensions
*/
public ResultMatrixLatex(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 ResultMatrixLatex(ResultMatrix matrix) {
super(matrix);
}
/**
* returns the name of the output format
*/
public String getDisplayName() {
return "LaTeX";
}
/**
* removes the stored data but retains the dimensions of the matrix
*/
public void clear() {
super.clear();
setPrintColNames(false);
setEnumerateColNames(true);
TIE_STRING = " ";
WIN_STRING = "$\\circ$";
LOSS_STRING = "$\\bullet$";
}
/**
* returns the header of the matrix as a string
* @see #m_HeaderKeys
* @see #m_HeaderValues
*/
public String toStringHeader() {
return new ResultMatrixPlainText(this).toStringHeader();
}
/**
* returns the matrix as latex table
*/
public String toStringMatrix() {
StringBuffer result;
String[][] cells;
int i;
int j;
int n;
int size;
result = new StringBuffer();
cells = toArray();
result.append( "\\begin{table}[thb]\n\\caption{\\label{labelname}"
+ "Table Caption}\n");
if (!getShowStdDev())
result.append("\\footnotesize\n");
else
result.append("\\scriptsize\n");
// output the column alignment characters
// one for the dataset name and one for the comparison column
if (!getShowStdDev()) {
result.append( "{\\centering \\begin{tabular}{"
+ "l" // dataset
+ "" // separator
+ "r" // mean
);
} else {
// dataset, mean, std dev
result.append( "{\\centering \\begin{tabular}{"
+ "l" // dataset
+ "" // separator
+ "r" // mean
+ "@{\\hspace{0cm}}" // separator
+ "c" // +/-
+ "@{\\hspace{0cm}}" // separator
+ "r" // stddev
);
}
for (j = 1; j < getColCount(); j++) {
if (getColHidden(j))
continue;
if (!getShowStdDev())
result.append( "r" // mean
+ "@{\\hspace{0.1cm}}" // separator
+ "c" // significance
);
else
result.append( "r" // mean
+ "@{\\hspace{0cm}}" // separator
+ "c" // +/-
+ "@{\\hspace{0cm}}" // separator
+ "r" // stddev
+ "@{\\hspace{0.1cm}}" // separator
+ "c" // significance
);
}
result.append("}\n\\\\\n\\hline\n");
if (!getShowStdDev())
result.append("Dataset & " + cells[0][1]);
else
result.append("Dataset & \\multicolumn{3}{c}{" + cells[0][1] + "}");
// now do the column names (numbers)
for (j = 2; j < cells[0].length; j++) {
if (!isMean(j))
continue;
if (!getShowStdDev())
result.append("& " + cells[0][j] + " & ");
else
result.append("& \\multicolumn{4}{c}{" + cells[0][j] + "} ");
}
result.append("\\\\\n\\hline\n");
// change "_" to "-" in names
for (i = 1; i < cells.length; i++)
cells[i][0] = cells[i][0].replace('_', '-');
// pad numbers
for (n = 1; n < cells[0].length; n++) {
size = getColSize(cells, n);
for (i = 1; i < cells.length; i++)
cells[i][n] = padString(cells[i][n], size, true);
}
// output data (w/o wins/ties/losses)
for (i = 1; i < cells.length - 1; i++) {
if (isAverage(i))
result.append("\\hline\n");
for (n = 0; n < cells[0].length; n++) {
if (n == 0) {
result.append(padString(cells[i][n], getRowNameWidth()));
}
else {
if (getShowStdDev()) {
if (isMean(n - 1)) {
if (!cells[i][n].trim().equals(""))
result.append(" & $\\pm$ & ");
else
result.append(" & & ");
}
else
result.append(" & ");
}
else {
result.append(" & ");
}
result.append(cells[i][n]);
}
}
result.append("\\\\\n");
}
result.append("\\hline\n\\multicolumn{" + cells[0].length + "}{c}{$\\circ$, $\\bullet$"
+" statistically significant improvement or degradation}"
+"\\\\\n\\end{tabular} ");
if (!getShowStdDev())
result.append("\\footnotesize ");
else
result.append("\\scriptsize ");
result.append("\\par}\n\\end{table}"
+"\n");
return result.toString();
}
/**
* returns returns a key for all the col names, for better readability if
* the names got cut off
*/
public String toStringKey() {
String result;
int i;
result = "\\begin{table}[thb]\n\\caption{\\label{labelname}"
+ "Table Caption (Key)}\n";
result += "\\scriptsize\n";
result += "{\\centering\n";
result += "\\begin{tabular}{cl}\\\\\n";
for (i = 0; i < getColCount(); i++) {
if (getColHidden(i))
continue;
result += LEFT_PARENTHESES + (i+1) + RIGHT_PARENTHESES
+ " & " + removeFilterName(m_ColNames[i]).replace('_', '-')
.replaceAll("\\\\", "\\\\textbackslash")
+ " \\\\\n";
}
result += "\\end{tabular}\n";
result += "}\n";
result += "\\end{table}\n";
return result;
}
/**
* returns the summary as string
*/
public String toStringSummary() {
int resultsetLength;
String result;
String titles;
int i;
int j;
if (m_NonSigWins == null)
return "-summary data not set-";
resultsetLength = 1 + Math.max((int)(Math.log(getColCount())/Math.log(10)),
(int)(Math.log(getRowCount())/Math.log(10)));
result = "";
titles = "";
result += "{\\centering\n";
result += "\\begin{table}[thb]\n\\caption{\\label{labelname}"
+"Table Caption}\n";
result += "\\footnotesize\n";
result += "\\begin{tabular}{l";
for (i = 0; i < getColCount(); i++) {
if (getColHidden(i))
continue;
titles += " &";
result += "c";
titles += ' ' + Utils.padLeft("" + getSummaryTitle(i),
resultsetLength * 2 + 3);
}
result += "}\\\\\n\\hline\n";
result += titles + " \\\\\n\\hline\n";
for (i = 0; i < getColCount(); i++) {
if (getColHidden(i))
continue;
for (j = 0; j < getColCount(); j++) {
if (getColHidden(j))
continue;
if (j == 0)
result += (char)((int)'a' + i % 26);
if (j == i)
result += " & - ";
else
result += "& " + m_NonSigWins[i][j] + " (" + m_Wins[i][j] + ") ";
}
result += "\\\\\n";
}
result += "\\hline\n\\end{tabular} \\footnotesize \\par\n\\end{table}}";
return result;
}
/**
* returns the ranking in a string representation
*/
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 = "\\begin{table}[thb]\n\\caption{\\label{labelname}Table Caption"
+ "}\n\\footnotesize\n{\\centering \\begin{tabular}{rlll}\\\\\n\\hline\n";
result += "Resultset & Wins$-$ & Wins & Losses \\\\\n& Losses & & "
+ "\\\\\n\\hline\n";
ranking = Utils.sort(m_RankingDiff);
for (i = getColCount() - 1; i >= 0; i--) {
curr = ranking[i];
if (getColHidden(curr))
continue;
result += "(" + (curr + 1) + ") & "
+ Utils.padLeft("" + m_RankingDiff[curr], width)
+ " & " + Utils.padLeft("" + m_RankingWins[curr], width)
+ " & " + Utils.padLeft("" + m_RankingLosses[curr], width)
+ "\\\\\n";
}
result += "\\hline\n\\end{tabular} \\footnotesize \\par}\n\\end{table}";
return result;
}
/**
* Returns the revision string.
*
* @return the revision
*/
public String getRevision() {
return RevisionUtils.extract("$Revision: 1.6 $");
}
/**
* for testing only
*/
public static void main(String[] args) {
ResultMatrix matrix;
int i;
int n;
matrix = new ResultMatrixLatex(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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