All Downloads are FREE. Search and download functionalities are using the official Maven repository.

weka.Run Maven / Gradle / Ivy

Go to download

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.

There is a newer version: 3.8.6
Show newest version
/*
 *   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 .
 */

/*
 *    Run.java
 *    Copyright (C) 2009-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka;

import java.util.ArrayList;
import java.util.List;

import weka.core.Utils;

/**
 * Helper class that executes Weka schemes from the command line. Performs
 * Suffix matching on the scheme name entered by the user - e.g.
*
* * java weka.Run NaiveBayes
*
* * will prompt the user to choose among * weka.classifiers.bayes.ComplementNaiveBayes, * weka.classifiers.bayes.NaiveBayes, * weka.classifiers.bayes.NaiveBayesMultinomial, * weka.classifiers.bayes.NaiveBayesMultinomialUpdateable, * weka.classifiers.bayes.NaiveBayesSimple, * weka.classifiers.bayes.NaiveBayesUpdateable * * @author Mark Hall (mhall{[at]}pentaho{[dot]}com) * @version $Revision: 12774 $ * */ public class Run { public enum SchemeType { CLASSIFIER("classifier"), CLUSTERER("clusterer"), ASSOCIATOR( "association rules"), ATTRIBUTE_SELECTION("attribute selection"), FILTER( "filter"), LOADER("loader"), SAVER("saver"), DATAGENERATOR( "data generator"), COMMANDLINE("general commandline runnable"); private final String m_stringVal; SchemeType(String name) { m_stringVal = name; } @Override public String toString() { return m_stringVal; } } /** * Find a scheme that matches the supplied suffix * * @param classType matching schemes must be of this class type * @param schemeToFind the name of the scheme to find * @param matchAnywhere if true, the name is matched anywhere in the * non-package part of candidate schemes * @return a list of fully qualified matching scheme names */ public static List findSchemeMatch(Class classType, String schemeToFind, boolean matchAnywhere, boolean notJustRunnables) { weka.core.ClassDiscovery.clearCache(); ArrayList matches = weka.core.ClassDiscovery.find(schemeToFind); ArrayList prunedMatches = new ArrayList(); // prune list for anything that isn't a runnable scheme for (int i = 0; i < matches.size(); i++) { if (matches.get(i).endsWith(schemeToFind) || matchAnywhere) { try { Object scheme = java.beans.Beans.instantiate((new Run()).getClass() .getClassLoader(), matches.get(i)); if (classType == null || classType.isAssignableFrom(scheme.getClass())) { if (notJustRunnables || scheme instanceof weka.classifiers.Classifier || scheme instanceof weka.clusterers.Clusterer || scheme instanceof weka.associations.Associator || scheme instanceof weka.attributeSelection.ASEvaluation || scheme instanceof weka.filters.Filter || scheme instanceof weka.core.converters.AbstractFileLoader || scheme instanceof weka.core.converters.AbstractFileSaver || scheme instanceof weka.datagenerators.DataGenerator || scheme instanceof weka.core.CommandlineRunnable) { prunedMatches.add(matches.get(i)); } } } catch (Exception ex) { // ignore any classes that we can't instantiate due to no no-arg // constructor } } } return prunedMatches; } /** * Find a scheme that matches the supplied suffix * * @param schemeToFind the name of the scheme to find * @param matchAnywhere if true, the name is matched anywhere in the * non-package part of candidate schemes * @return a list of fully qualified matching scheme names */ public static List findSchemeMatch(String schemeToFind, boolean matchAnywhere) { return findSchemeMatch(null, schemeToFind, matchAnywhere, false); } /** * Main method for this class. -help or -h prints usage info. * * @param args */ public static void main(String[] args) { System.setProperty("apple.awt.UIElement", "true"); try { if (args.length == 0 || args[0].equalsIgnoreCase("-h") || args[0].equalsIgnoreCase("-help")) { System.err .println("Usage:\n\tweka.Run [-no-scan] [-no-load] [-match-anywhere] "); return; } boolean noScan = false; boolean noLoad = false; boolean matchAnywhere = false; boolean dontPromptIfMultipleMatches = false; if (Utils.getFlag("list-packages", args)) { weka.core.WekaPackageManager.loadPackages(true, true, false); return; } int schemeIndex = 0; if (Utils.getFlag("no-load", args)) { noLoad = true; schemeIndex++; } if (Utils.getFlag("no-scan", args)) { noScan = true; schemeIndex++; } if (Utils.getFlag("match-anywhere", args)) { matchAnywhere = true; schemeIndex++; } if (Utils.getFlag("do-not-prompt-if-multiple-matches", args)) { dontPromptIfMultipleMatches = true; schemeIndex++; } if (!noLoad) { weka.core.WekaPackageManager.loadPackages(false, true, false); } String schemeToRun = null; String[] options = null; if (schemeIndex >= args.length) { System.err.println("No scheme name given."); return; } schemeToRun = args[schemeIndex]; options = new String[args.length - schemeIndex - 1]; if (options.length > 0) { System.arraycopy(args, schemeIndex + 1, options, 0, options.length); } if (!noScan) { List prunedMatches = findSchemeMatch(schemeToRun, matchAnywhere); if (prunedMatches.size() == 0) { System.err.println("Can't find scheme " + schemeToRun + ", or it is not runnable."); // System.exit(1); return; } else if (prunedMatches.size() > 1) { if (dontPromptIfMultipleMatches) { System.out.println("There are multiple matches:"); for (int i = 0; i < prunedMatches.size(); i++) { System.out.println("\t" + (i + 1) + ") " + prunedMatches.get(i)); } System.out.println("\nPlease make your scheme name more specific " + "(i.e. qualify it with more of the package name)."); return; } java.io.BufferedReader br = new java.io.BufferedReader( new java.io.InputStreamReader(System.in)); boolean done = false; while (!done) { System.out.println("Select a scheme to run, or to exit:"); for (int i = 0; i < prunedMatches.size(); i++) { System.out.println("\t" + (i + 1) + ") " + prunedMatches.get(i)); } System.out.print("\nEnter a number > "); String choice = null; int schemeNumber = 0; try { choice = br.readLine(); if (choice.equals("")) { // System.exit(0); return; } else { schemeNumber = Integer.parseInt(choice); schemeNumber--; if (schemeNumber >= 0 && schemeNumber < prunedMatches.size()) { schemeToRun = prunedMatches.get(schemeNumber); done = true; } } } catch (java.io.IOException ex) { // ignore } } } else { schemeToRun = prunedMatches.get(0); } } Object scheme = null; try { scheme = java.beans.Beans.instantiate((new Run()).getClass() .getClassLoader(), schemeToRun); } catch (Exception ex) { System.err.println(schemeToRun + " is not runnable!"); // System.exit(1); return; } // now see which interfaces/classes this scheme implements/extends ArrayList types = new ArrayList(); if (scheme instanceof weka.core.CommandlineRunnable) { types.add(SchemeType.COMMANDLINE); } else { if (scheme instanceof weka.classifiers.Classifier) { types.add(SchemeType.CLASSIFIER); } if (scheme instanceof weka.clusterers.Clusterer) { types.add(SchemeType.CLUSTERER); } if (scheme instanceof weka.associations.Associator) { types.add(SchemeType.ASSOCIATOR); } if (scheme instanceof weka.attributeSelection.ASEvaluation) { types.add(SchemeType.ATTRIBUTE_SELECTION); } if (scheme instanceof weka.filters.Filter) { types.add(SchemeType.FILTER); } if (scheme instanceof weka.core.converters.AbstractFileLoader) { types.add(SchemeType.LOADER); } if (scheme instanceof weka.core.converters.AbstractFileSaver) { types.add(SchemeType.SAVER); } if (scheme instanceof weka.datagenerators.DataGenerator) { types.add(SchemeType.DATAGENERATOR); } } SchemeType selectedType = null; if (types.size() == 0) { System.err.println("" + schemeToRun + " is not runnable!"); // System.exit(1); return; } if (types.size() == 1) { selectedType = types.get(0); } else { java.io.BufferedReader br = new java.io.BufferedReader( new java.io.InputStreamReader(System.in)); boolean done = false; while (!done) { System.out.println("" + schemeToRun + " can be executed as any of the following:"); for (int i = 0; i < types.size(); i++) { System.out.println("\t" + (i + 1) + ") " + types.get(i)); } System.out.print("\nEnter a number > "); String choice = null; int typeNumber = 0; try { choice = br.readLine(); if (choice.equals("")) { // System.exit(0); return; } else { typeNumber = Integer.parseInt(choice); typeNumber--; if (typeNumber >= 0 && typeNumber < types.size()) { selectedType = types.get(typeNumber); done = true; } } } catch (java.io.IOException ex) { // ignore } } } if (selectedType == SchemeType.CLASSIFIER) { weka.classifiers.AbstractClassifier.runClassifier( (weka.classifiers.Classifier) scheme, options); } else if (selectedType == SchemeType.CLUSTERER) { weka.clusterers.AbstractClusterer.runClusterer( (weka.clusterers.Clusterer) scheme, options); } else if (selectedType == SchemeType.ATTRIBUTE_SELECTION) { weka.attributeSelection.ASEvaluation.runEvaluator( (weka.attributeSelection.ASEvaluation) scheme, options); } else if (selectedType == SchemeType.ASSOCIATOR) { weka.associations.AbstractAssociator.runAssociator( (weka.associations.Associator) scheme, options); } else if (selectedType == SchemeType.FILTER) { weka.filters.Filter.runFilter((weka.filters.Filter) scheme, options); } else if (selectedType == SchemeType.LOADER) { weka.core.converters.AbstractFileLoader.runFileLoader( (weka.core.converters.AbstractFileLoader) scheme, options); } else if (selectedType == SchemeType.SAVER) { weka.core.converters.AbstractFileSaver.runFileSaver( (weka.core.converters.AbstractFileSaver) scheme, options); } else if (selectedType == SchemeType.DATAGENERATOR) { weka.datagenerators.DataGenerator.runDataGenerator( (weka.datagenerators.DataGenerator) scheme, options); } else if (selectedType == SchemeType.COMMANDLINE) { ((weka.core.CommandlineRunnable) scheme).run(scheme, options); } } catch (Exception e) { if (((e.getMessage() != null) && (e.getMessage().indexOf( "General options") == -1)) || (e.getMessage() == null)) { e.printStackTrace(); } else { System.err.println(e.getMessage()); } } } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy