weka.gui.experiment.ExperimenterDefaults Maven / Gradle / Ivy
/*
* 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.
*/
/*
* ExperimenterDefaults.java
* Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
*
*/
package weka.gui.experiment;
import weka.core.Utils;
import weka.experiment.PairedCorrectedTTester;
import weka.experiment.ResultMatrix;
import weka.experiment.ResultMatrixPlainText;
import weka.experiment.Tester;
import java.io.File;
import java.io.Serializable;
import java.util.Collections;
import java.util.Enumeration;
import java.util.Properties;
import java.util.Vector;
/**
* This class offers get methods for the default Experimenter settings in
* the props file weka/gui/experiment/Experimenter.props.
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision: 7059 $
* @see #PROPERTY_FILE
*/
public class ExperimenterDefaults
implements Serializable {
/** for serialization */
static final long serialVersionUID = -2835933184632147981L;
/** The name of the properties file */
public final static String PROPERTY_FILE = "weka/gui/experiment/Experimenter.props";
/** Properties associated with the experimenter options */
protected static Properties PROPERTIES;
static {
try {
PROPERTIES = Utils.readProperties(PROPERTY_FILE);
}
catch (Exception e) {
System.err.println(Messages.getInstance().getString("ExperimenterDefaults_STATIC_Error_Text"));
e.printStackTrace();
PROPERTIES = new Properties();
}
}
/**
* returns the value for the specified property, if non-existent then the
* default value.
*
* @param property the property to retrieve the value for
* @param defaultValue the default value for the property
* @return the value of the specified property
*/
public static String get(String property, String defaultValue) {
return PROPERTIES.getProperty(property, defaultValue);
}
/**
* returns the associated properties file
*
* @return the props file
*/
public final static Properties getProperties() {
return PROPERTIES;
}
/**
* returns the default experiment extension
*
* @return the extension (incl. dot)
*/
public final static String getExtension() {
return get("Extension", ".exp");
}
/**
* returns the default destination
*
* @return the destination
*/
public final static String getDestination() {
return get("Destination", Messages.getInstance().getString("ExperimenterDefaults_GetDestination_Text"));
}
/**
* returns the default experiment type
*
* @return the type
*/
public final static String getExperimentType() {
return get("ExperimentType", Messages.getInstance().getString("ExperimenterDefaults_GetExperimentType_Text"));
}
/**
* whether classification or regression is used
*
* @return true if classification
*/
public final static boolean getUseClassification() {
return Boolean.valueOf(get("UseClassification", "true")).booleanValue();
}
/**
* returns the number of folds used for cross-validation
*
* @return the number of folds
*/
public final static int getFolds() {
return Integer.parseInt(get("Folds", "10"));
}
/**
* returns the training percentage in case of splits
*
* @return the percentage (0-100)
*/
public final static double getTrainPercentage() {
return Integer.parseInt(get("TrainPercentage", "66"));
}
/**
* returns the number of repetitions to use
*
* @return the repetitions/runs
*/
public final static int getRepetitions() {
return Integer.parseInt(get("Repetitions", "10"));
}
/**
* whether datasets or algorithms are iterated first
*
* @return true if datasets are iterated first
*/
public final static boolean getDatasetsFirst() {
return Boolean.valueOf(get("DatasetsFirst", "true")).booleanValue();
}
/**
* returns the initial directory for the datasets (if empty, it returns
* the user's home directory)
*
* @return the directory
*/
public final static File getInitialDatasetsDirectory() {
String dir;
dir = get("InitialDatasetsDirectory", "");
if (dir.equals(""))
dir = System.getProperty("user.dir");
return new File(dir);
}
/**
* whether relative paths are used by default
*
* @return true if relative paths are used
*/
public final static boolean getUseRelativePaths() {
return Boolean.valueOf(get("UseRelativePaths", "false")).booleanValue();
}
/**
* returns the display name of the preferred Tester algorithm
*
* @return the display name
* @see Tester
* @see PairedCorrectedTTester
*/
public final static String getTester() {
return get("Tester", new PairedCorrectedTTester().getDisplayName());
}
/**
* the comma-separated list of attribute names that identify a row
*
* @return the attribute list
*/
public final static String getRow() {
return get("Row", "Key_Dataset");
}
/**
* the comma-separated list of attribute names that identify a column
*
* @return the attribute list
*/
public final static String getColumn() {
return get("Column", "Key_Scheme,Key_Scheme_options,Key_Scheme_version_ID");
}
/**
* returns the name of the field used for comparison
*
* @return the comparison field
*/
public final static String getComparisonField() {
return get("ComparisonField", "percent_correct");
}
/**
* returns the default significance
*
* @return the significance (0.0-1.0)
*/
public final static double getSignificance() {
return Double.parseDouble(get("Significance", "0.05"));
}
/**
* returns the default sorting (empty string means none)
*
* @return the sorting field
*/
public final static String getSorting() {
return get("Sorting", "");
}
/**
* returns whether StdDevs are shown by default
*
* @return true if stddevs are shown
*/
public final static boolean getShowStdDevs() {
return Boolean.valueOf(get("ShowStdDev", "false")).booleanValue();
}
/**
* returns whether the Average is shown by default
*
* @return true if the average is shown
*/
public final static boolean getShowAverage() {
return Boolean.valueOf(get("ShowAverage", "false")).booleanValue();
}
/**
* returns the default precision for the mean
*
* @return the decimals of the mean
*/
public final static int getMeanPrecision() {
return Integer.parseInt(get("MeanPrecision", "2"));
}
/**
* returns the default precision for the stddevs
*
* @return the decimals of the stddevs
*/
public final static int getStdDevPrecision() {
return Integer.parseInt(get("StdDevPrecision", "2"));
}
/**
* returns the classname of the ResultMatrix class, responsible for the
* output format
*
* @return the classname
* @see ResultMatrix
* @see ResultMatrixPlainText
*/
public final static String getOutputFormat() {
return get("OutputFormat", ResultMatrixPlainText.class.getName());
}
/**
* whether the filter classnames in the dataset names are removed by default
*
* @return true if filter names are removed
*/
public final static boolean getRemoveFilterClassnames() {
return Boolean.valueOf(get("RemoveFilterClassnames", "false")).booleanValue();
}
/**
* only for testing - prints the content of the props file
*
* @param args commandline parameters - ignored
*/
public static void main(String[] args) {
Enumeration names;
String name;
Vector sorted;
System.out.println(Messages.getInstance().getString("ExperimenterDefaults_Main_Text"));
names = PROPERTIES.propertyNames();
// sort names
sorted = new Vector();
while (names.hasMoreElements())
sorted.add(names.nextElement());
Collections.sort(sorted);
names = sorted.elements();
// output
while (names.hasMoreElements()) {
name = names.nextElement().toString();
System.out.println("- " + name + ": " + PROPERTIES.getProperty(name, ""));
}
System.out.println();
}
}
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