/** * Main method for testing this class. * * @param args the options */ public static void main(String[] args) { runClassifier(new RandomSubSpace(), args); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String[] argv) { runClassifier(new MultiClassClassifierUpdateable(), argv); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new MultiClassClassifier(), argv); } }
/** * Main method for testing this class. * * @param argv should contain the following arguments: -t training file [-T * test file] [-c class index] */ public static void main(String[] argv) { runClassifier(new Vote(), argv); }
/** * Method used to build the classifier. */ public void buildClassifier(Instances data) throws Exception { // Initialize classifier initializeClassifier(data); // Perform boosting iterations while (next()) {}; // Clean up done(); }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String[] argv) { runClassifier(new IterativeClassifierOptimizer(), argv); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new RegressionByDiscretization(), argv); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new RandomCommittee(), argv); } }
/** * Main method for testing this class. * * @param argv the options for the learner */ public static void main(String [] argv){ runClassifier(new ClassificationViaRegression(), argv); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new CVParameterSelection(), argv); } }
/** * Main method for testing this class. * * @param argv should contain the following arguments: * -t training file [-T test file] [-c class index] */ public static void main(String [] argv) { runClassifier(new AdditiveRegression(), argv); } }
/** * Main method for testing this class. * * @param argv should contain the following arguments: * -t training file [-T test file] [-c class index] */ public static void main(String [] argv) { runClassifier(new RandomizableFilteredClassifier(), argv); } }
/** * Main method for testing this class. * * @param args the options */ public static void main(String[] args) { runClassifier(new RandomSubSpace(), args); } }
/** * Constructor that sets default base learner. */ public TLC() { m_Classifier = new LogitBoost(); }
/** * Main method for testing this class. * * @param args the options */ public static void main(String [] args) { runClassifier(new MOA(), args); } }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String [] argv) { runClassifier(new RotationForest(), argv); }
/** * Returns a string that summarizes the object. * * @return the object summarized as a string */ public String toSummaryString() { String result; result = "Best classifier: " + getCommandline(getBestClassifier()); return result; }
/** * Main method for running this classifier. * * @param args use -h for overview on parameters */ public static void main(String[] args) { runClassifier(new FilteredClassifierUpdateable(), args); }
/** * prints the specified message to stdout if debug is on and can also dump * the message to a log file. * * @param message the message to print or store in a log file */ public void log(String message) { log(message, false); }
/** * Main method for testing this class. * * @param args the options */ public static void main(String[] args) { runClassifier(new RandomSubSpace(), args); } }