/* * 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. */ /* * JythonClassifier.java * Copyright (C) 2007 University of Waikato, Hamilton, New Zealand * */ package weka.classifiers.scripting; import weka.classifiers.Classifier; import weka.classifiers.AbstractClassifier; import weka.core.Capabilities; import weka.core.Instance; import weka.core.Instances; import weka.core.Option; import weka.core.RevisionUtils; import weka.core.Utils; import weka.core.OptionHandler; import weka.core.scripting.Jython; import java.io.File; import java.util.Enumeration; import java.util.Vector; /** * A wrapper class for Jython code. Even though the classifier is serializable, the trained classifier cannot be stored persistently. I.e., one cannot store a model file and re-load it at a later point in time again to make predictions. *

* * Valid options are:

* *

 -J <filename>
 *  The Jython module to load (full path)
 *  Options after '--' will be passed on to the Jython module.
* *
 -P <directory[,directory,...]>
 *  The paths to add to 'sys.path' (comma-separated list).
* *
 -D
 *  If set, classifier is run in debug mode and
 *  may output additional info to the console
* * * Options after "--" will be passed onto the Jython module. *

* Partially based on this * code. * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 5987 $ */ public class JythonClassifier extends AbstractClassifier { /** for serialization. */ private static final long serialVersionUID = -9078371491735496175L; /** the Jython module. */ protected File m_JythonModule = new File(System.getProperty("user.dir")); /** the options for the Jython module. */ protected String[] m_JythonOptions = new String[0]; /** additional paths for the Jython module (will be added to "sys.path"). */ protected File[] m_JythonPaths = new File[0]; /** the loaded Jython object. */ transient protected Classifier m_JythonObject = null; /** * default constructor. */ public JythonClassifier() { super(); } /** * Returns a string describing classifier. * * @return a description suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return "A wrapper class for Jython code. Even though the classifier is " + "serializable, the trained classifier cannot be stored persistently. " + "I.e., one cannot store a model file and re-load it at a later point " + "in time again to make predictions."; } /** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration listOptions() { Vector result = new Vector(); result.addElement(new Option( "\tThe Jython module to load (full path)\n" + "\tOptions after '--' will be passed on to the Jython module.", "J", 1, "-J ")); result.addElement(new Option( "\tThe paths to add to 'sys.path' (comma-separated list).", "P", 1, "-P ")); Enumeration en = super.listOptions(); while (en.hasMoreElements()) result.addElement(en.nextElement()); return result.elements(); } /** * Parses a given list of options. * * @param options the list of options as an array of strings * @throws Exception if an option is not supported */ public void setOptions(String[] options) throws Exception { String tmpStr; m_JythonOptions = new String[0]; setJythonPaths(Utils.getOption('P', options)); tmpStr = Utils.getOption('J', options); if (tmpStr.length() != 0) setJythonModule(new File(tmpStr)); else setJythonModule(new File(System.getProperty("user.dir"))); setJythonOptions(Utils.joinOptions(Utils.partitionOptions(options).clone())); super.setOptions(options); } /** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to * setOptions */ public String[] getOptions() { Vector result; String[] options; int i; result = new Vector(); if (getJythonPaths().length() > 0) { result.add("-P"); result.add("" + getJythonPaths()); } result.add("-J"); result.add("" + getJythonModule().getAbsolutePath()); options = super.getOptions(); for (i = 0; i < options.length; i++) result.add(options[i]); if (m_JythonOptions.length > 0) { options = m_JythonOptions; result.add("--"); for (i = 0; i < options.length; i++) result.add(options[i]); } return result.toArray(new String[result.size()]); } /** * Returns the tip text for this property. * * @return tip text for this property suitable for * displaying in the explorer/experimenter gui */ public String jythonModuleTipText() { return "The Jython module to load and execute."; } /** * Sets the Jython module. * * @param value the Jython module */ public void setJythonModule(File value) { m_JythonModule = value; initJythonObject(); } /** * Gets the Jython module. * * @return the Jython module */ public File getJythonModule() { return m_JythonModule; } /** * Returns the tip text for this property. * * @return tip text for this property suitable for * displaying in the explorer/experimenter gui */ public String jythonOptionsTipText() { return "The options for the Jython module."; } /** * Sets the Jython module options. * * @param value the options */ public void setJythonOptions(String value) { try { m_JythonOptions = Utils.splitOptions(value).clone(); initJythonObject(); } catch (Exception e) { m_JythonOptions = new String[0]; e.printStackTrace(); } } /** * Gets the Jython module options. * * @return the options */ public String getJythonOptions() { return Utils.joinOptions(m_JythonOptions); } /** * Returns the tip text for this property. * * @return tip text for this property suitable for * displaying in the explorer/experimenter gui */ public String jythonPathsTipText() { return "Comma-separated list of additional paths that get added to 'sys.path'."; } /** * Sets the additional Jython paths. * * @param value the paths (comma-separated list) */ public void setJythonPaths(String value) { String[] paths; int i; if (value.length() == 0) { m_JythonPaths = new File[0]; } else { paths = value.split(","); m_JythonPaths = new File[paths.length]; for (i = 0; i < m_JythonPaths.length; i++) m_JythonPaths[i] = new File(paths[i]); } } /** * Gets the additional Jython paths. * * @return the paths */ public String getJythonPaths() { String result; int i; result = ""; for (i = 0; i < m_JythonPaths.length; i++) { if (i > 0) result += ","; result += m_JythonPaths[i].getAbsolutePath(); } return result; } /** * Returns default capabilities of the classifier. * * @return the capabilities of this classifier */ public Capabilities getCapabilities() { Capabilities result; if (m_JythonObject == null) { result = new Capabilities(this); result.disableAll(); } else { result = m_JythonObject.getCapabilities(); } result.enableAllAttributeDependencies(); result.enableAllClassDependencies(); return result; } /** * tries to initialize the python object and set its options. */ protected void initJythonObject() { try { if (m_JythonModule.isFile()) m_JythonObject = (Classifier) Jython.newInstance(m_JythonModule, Classifier.class, m_JythonPaths); else m_JythonObject = null; if (m_JythonObject != null) ((OptionHandler)m_JythonObject).setOptions(m_JythonOptions.clone()); } catch (Exception e) { m_JythonObject = null; e.printStackTrace(); } } /** * Generates the classifier. * * @param instances set of instances serving as training data * @throws Exception if the classifier has not been generated successfully */ public void buildClassifier(Instances instances) throws Exception { if (!Jython.isPresent()) throw new Exception("Jython classes not in CLASSPATH!"); // try loading the module initJythonObject(); // build the model if (m_JythonObject != null) m_JythonObject.buildClassifier(instances); else System.err.println("buildClassifier: No Jython object present!"); } /** * Classifies a given instance. * * @param instance the instance to be classified * @return index of the predicted class * @throws Exception if an error occurred during the prediction */ public double classifyInstance(Instance instance) throws Exception { if (m_JythonObject != null) return m_JythonObject.classifyInstance(instance); else return Utils.missingValue(); } /** * Calculates the class membership probabilities for the given test instance. * * @param instance the instance to be classified * @return predicted class probability distribution * @throws Exception if class is numeric */ public double[] distributionForInstance(Instance instance) throws Exception { if (m_JythonObject != null) return m_JythonObject.distributionForInstance(instance); else return new double[instance.numClasses()]; } /** * Returns a description of the classifier. * * @return a description of the classifier as a string. */ public String toString() { if (m_JythonObject != null) return m_JythonObject.toString(); else return "No Jython module loaded."; } /** * Returns the revision string. * * @return the revision */ public String getRevision() { return RevisionUtils.extract("$Revision: 5987 $"); } /** * Main method for testing this class. * * @param args the options */ public static void main(String [] args) { runClassifier(new JythonClassifier(), args); } }