Example usage for weka.core Option description

Introduction

In this page you can find the example usage for weka.core Option description.

Prototype

public String description() 

Source Link

Document

Returns the option's description.

Usage

From source file:TextDirectoryLoader.java

License:Open Source License

/**
 * Main method./* ww  w  .j  a v  a  2  s .  c o  m*/
 *
 * @param args should contain the name of an input file.
 */
public static void main(String[] args) {
    if (args.length > 0) {
        try {
            TextDirectoryLoader loader = new TextDirectoryLoader();
            loader.setOptions(args);
            System.out.println(loader.getDataSet());
        } catch (Exception e) {
            e.printStackTrace();
        }
    } else {
        System.err.println("\nUsage:\n" + "\tTextDirectoryLoader [options]\n" + "\n" + "Options:\n");

        Enumeration enm = ((OptionHandler) new TextDirectoryLoader()).listOptions();
        while (enm.hasMoreElements()) {
            Option option = (Option) enm.nextElement();
            System.err.println(option.synopsis());
            System.err.println(option.description());
        }

        System.err.println();
    }
}

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From source file:bme.mace.logicdomain.Evaluation.java

License:Open Source License

/**
 * Make up the help string giving all the command line options
 * /*w ww.  j  a v  a 2s  . co m*/
 * @param classifier the classifier to include options for
 * @param globalInfo include the global information string for the classifier
 *          (if available).
 * @return a string detailing the valid command line options
 */
protected static String makeOptionString(Classifier classifier, boolean globalInfo) {

    StringBuffer optionsText = new StringBuffer("");

    // General options
    optionsText.append("\n\nGeneral options:\n\n");
    optionsText.append("-h or -help\n");
    optionsText.append("\tOutput help information.\n");
    optionsText.append("-synopsis or -info\n");
    optionsText.append("\tOutput synopsis for classifier (use in conjunction " + " with -h)\n");
    optionsText.append("-t <name of training file>\n");
    optionsText.append("\tSets training file.\n");
    optionsText.append("-T <name of test file>\n");
    optionsText.append("\tSets test file. If missing, a cross-validation will be performed\n");
    optionsText.append("\ton the training data.\n");
    optionsText.append("-c <class index>\n");
    optionsText.append("\tSets index of class attribute (default: last).\n");
    optionsText.append("-x <number of folds>\n");
    optionsText.append("\tSets number of folds for cross-validation (default: 10).\n");
    optionsText.append("-no-cv\n");
    optionsText.append("\tDo not perform any cross validation.\n");
    optionsText.append("-split-percentage <percentage>\n");
    optionsText.append("\tSets the percentage for the train/test set split, e.g., 66.\n");
    optionsText.append("-preserve-order\n");
    optionsText.append("\tPreserves the order in the percentage split.\n");
    optionsText.append("-s <random number seed>\n");
    optionsText.append("\tSets random number seed for cross-validation or percentage split\n");
    optionsText.append("\t(default: 1).\n");
    optionsText.append("-m <name of file with cost matrix>\n");
    optionsText.append("\tSets file with cost matrix.\n");
    optionsText.append("-l <name of input file>\n");
    optionsText.append("\tSets model input file. In case the filename ends with '.xml',\n");
    optionsText.append("\ta PMML file is loaded or, if that fails, options are loaded\n");
    optionsText.append("\tfrom the XML file.\n");
    optionsText.append("-d <name of output file>\n");
    optionsText.append("\tSets model output file. In case the filename ends with '.xml',\n");
    optionsText.append("\tonly the options are saved to the XML file, not the model.\n");
    optionsText.append("-v\n");
    optionsText.append("\tOutputs no statistics for training data.\n");
    optionsText.append("-o\n");
    optionsText.append("\tOutputs statistics only, not the classifier.\n");
    optionsText.append("-i\n");
    optionsText.append("\tOutputs detailed information-retrieval");
    optionsText.append(" statistics for each class.\n");
    optionsText.append("-k\n");
    optionsText.append("\tOutputs information-theoretic statistics.\n");
    optionsText.append("-p <attribute range>\n");
    optionsText.append("\tOnly outputs predictions for test instances (or the train\n"
            + "\tinstances if no test instances provided and -no-cv is used),\n"
            + "\talong with attributes (0 for none).\n");
    optionsText.append("-distribution\n");
    optionsText.append("\tOutputs the distribution instead of only the prediction\n");
    optionsText.append("\tin conjunction with the '-p' option (only nominal classes).\n");
    optionsText.append("-r\n");
    optionsText.append("\tOnly outputs cumulative margin distribution.\n");
    if (classifier instanceof Sourcable) {
        optionsText.append("-z <class name>\n");
        optionsText.append("\tOnly outputs the source representation"
                + " of the classifier,\n\tgiving it the supplied" + " name.\n");
    }
    if (classifier instanceof Drawable) {
        optionsText.append("-g\n");
        optionsText.append("\tOnly outputs the graph representation" + " of the classifier.\n");
    }
    optionsText.append("-xml filename | xml-string\n");
    optionsText.append("\tRetrieves the options from the XML-data instead of the " + "command line.\n");
    optionsText.append("-threshold-file <file>\n");
    optionsText.append("\tThe file to save the threshold data to.\n"
            + "\tThe format is determined by the extensions, e.g., '.arff' for ARFF \n"
            + "\tformat or '.csv' for CSV.\n");
    optionsText.append("-threshold-label <label>\n");
    optionsText.append(
            "\tThe class label to determine the threshold data for\n" + "\t(default is the first label)\n");

    // Get scheme-specific options
    if (classifier instanceof OptionHandler) {
        optionsText.append("\nOptions specific to " + classifier.getClass().getName() + ":\n\n");
        Enumeration enu = ((OptionHandler) classifier).listOptions();
        while (enu.hasMoreElements()) {
            Option option = (Option) enu.nextElement();
            optionsText.append(option.synopsis() + '\n');
            optionsText.append(option.description() + "\n");
        }
    }

    // Get global information (if available)
    if (globalInfo) {
        try {
            String gi = getGlobalInfo(classifier);
            optionsText.append(gi);
        } catch (Exception ex) {
            // quietly ignore
        }
    }
    return optionsText.toString();
}

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From source file:cba.AssociatorEvaluation.java

License:Open Source License

/**
 * Generates an option string to output on the commandline.
 * /*from   w w w.  jav a2 s  . c om*/
 * @param associator   the associator to generate the string for
 * @return      the option string
 */
protected static String makeOptionString(Associator associator) {
    StringBuffer text;

    text = new StringBuffer();

    // general options
    text.append("\nGeneral options:\n\n");
    text.append("-t <training file>\n");
    text.append("\tThe name of the training file.\n");
    text.append("-g <name of graph file>\n");
    text.append("\tOutputs the graph representation (if supported) of the associator to a file.\n");

    // associator specific options, if any
    if (associator instanceof OptionHandler) {
        text.append(
                "\nOptions specific to " + associator.getClass().getName().replaceAll(".*\\.", "") + ":\n\n");

        Enumeration enm = ((OptionHandler) associator).listOptions();
        while (enm.hasMoreElements()) {
            Option option = (Option) enm.nextElement();
            text.append(option.synopsis() + "\n");
            text.append(option.description() + "\n");
        }
    }

    return text.toString();
}

---

From source file:com.entopix.maui.main.MauiModelBuilder.java

License:Open Source License

/**
 * The main method./*from  w ww . j  a  v  a  2 s. c o m*/
 */
public static void main(String[] ops) {

    MauiModelBuilder modelBuilder = new MauiModelBuilder();
    VocabularyStoreFactory.setPrefferedVocabStoreType(VocabularyStore_HT.class);

    try {

        modelBuilder.setOptions(ops);

        // Output what options are used
        log.info("Building model with options: ");
        String[] optionSettings = modelBuilder.getOptions();
        String options = "";
        for (String optionSetting : optionSettings) {
            options += optionSetting + " ";
        }
        log.info(options);

        MauiFilter mauiFilter = modelBuilder.buildModel();

        log.info("Model built. Saving the model...");

        modelBuilder.saveModel(mauiFilter);

        log.info("Done!");

    } catch (Exception e) {

        // Output information on how to use this class
        log.error("Error running MauiModelBuilder..", e);
        log.error(e.getMessage());
        log.error("\nOptions:\n");
        Enumeration<Option> en = modelBuilder.listOptions();
        while (en.hasMoreElements()) {
            Option option = en.nextElement();
            log.error(option.synopsis());
            log.error(option.description());
        }
    }
}

---

From source file:com.github.polarisation.kea.main.KEAKeyphraseExtractor.java

License:Open Source License

/**
 * The main method.  //from www .j a v a  2s  .  c  o m
 */
public static void main(String[] ops) {

    KEAKeyphraseExtractor kmb = new KEAKeyphraseExtractor();
    try {
        // Checking and Setting Options selected by the user:
        kmb.setOptions(ops);
        System.err.print("Extracting keyphrases with options: ");

        // Reading Options, which were set above and output them:
        String[] optionSettings = kmb.getOptions();
        for (int i = 0; i < optionSettings.length; i++) {
            System.err.print(optionSettings[i] + " ");
        }
        System.err.println();

        // Loading selected Model:
        System.err.println("-- Loading the Model... ");
        kmb.loadModel();
        // Extracting Keyphrases from all files in the selected directory
        // stem == the name of the file without ".txt"

        kmb.extractKeyphrases(kmb.collectStems());

    } catch (Exception e) {
        e.printStackTrace();
        System.err.println(e.getMessage());
        System.err.println("\nOptions:\n");
        Enumeration en = kmb.listOptions();
        while (en.hasMoreElements()) {
            Option option = (Option) en.nextElement();
            System.err.println(option.synopsis());
            System.err.println(option.description());
        }
    }
}

---

From source file:com.openkm.kea.modelcreator.KEAKeyphraseExtractor.java

License:Open Source License

/**
 * The main method.// w  w w .ja va  2  s . c om
 */
public static void main(String[] ops) {
    KEAKeyphraseExtractor kmb = new KEAKeyphraseExtractor(new StopwordsEnglish());

    try {
        // Checking and Setting Options selected by the user:
        kmb.setOptions(ops);
        log.info("Extracting keyphrases with options: ");

        // Reading Options, which were set above and output them:
        String[] optionSettings = kmb.getOptions();
        for (int i = 0; i < optionSettings.length; i++) {
            log.info(optionSettings[i] + " ");
        }

        // Loading selected Model:
        log.info("-- Loading the Model... ");
        kmb.loadModel();
        // Extracting Keyphrases from all files in the selected directory
        // stem == the name of the file without ".txt"

        kmb.extractKeyphrases(kmb.collectStems());
    } catch (Exception e) {
        e.printStackTrace();
        log.error(e.getMessage());
        log.error("\nOptions:\n");
        Enumeration<Option> en = kmb.listOptions();
        while (en.hasMoreElements()) {
            Option option = en.nextElement();
            log.error(option.synopsis());
            log.error(option.description());
        }
    }
}

---

From source file:com.openkm.kea.modelcreator.KEAModelBuilder.java

License:Open Source License

/**
 * The main method.  //from  w ww. j  a  v a  2  s.c  om
 */
public static void main(String[] ops) {
    KEAModelBuilder kmb = new KEAModelBuilder();

    try {
        kmb.setOptions(ops);
        log.info("Building model with options: ");
        String[] optionSettings = kmb.getOptions();
        for (int i = 0; i < optionSettings.length; i++) {
            log.info(optionSettings[i] + " ");
        }
        kmb.buildModel(kmb.collectStems(), new StopwordsEnglish());
        kmb.saveModel();
    } catch (Exception e) {
        e.printStackTrace();
        log.error(e.getMessage());
        log.error("\nOptions:\n");
        Enumeration<Option> en = kmb.listOptions();
        while (en.hasMoreElements()) {
            Option option = en.nextElement();
            log.error(option.synopsis());
            log.error(option.description());
        }
    }
}

---

From source file:com.rapidminer.tools.WekaTools.java

License:Open Source License

/**
 * Tries to guess the type of the given option. If the number of arguments
 * is zero, than a boolean type is assumed. In other cases it will be tried
 * to parse the default value in the options array as a number and on
 * success a Double type is returned. If this fails, a ParameterTypeString
 * is returned./* w  w w.  j  a v a2s.  c  om*/
 */
public static ParameterType guessParameterType(Option option, String[] options) {
    if (option.numArguments() == 0) {
        String defaultString = getStringDefault(option.name(), options);
        if (defaultString == null) {
            return new ParameterTypeBoolean(option.name(), option.description(),
                    getBooleanDefault(option.name(), options));
        } else {
            return new ParameterTypeString(option.name(), option.description(), defaultString);
        }
    } else {
        String defaultString = getStringDefault(option.name(), options);
        if (defaultString == null) {
            return new ParameterTypeString(option.name(), option.description());
        } else {
            try {
                double defaultValue = Double.parseDouble(defaultString);
                return new ParameterTypeDouble(option.name(), option.description(), Double.NEGATIVE_INFINITY,
                        Double.POSITIVE_INFINITY, defaultValue);
            } catch (NumberFormatException e) {
                return new ParameterTypeString(option.name(), option.description(), defaultString);
            }
        }
    }
}

---

From source file:core.ClusterEvaluationEX.java

License:Open Source License

/**
 * Make up the help string giving all the command line options
 *
 * @param clusterer the clusterer to include options for
 * @return a string detailing the valid command line options
 */// w  w w  .j  ava 2s. c o  m
private static String makeOptionString(Clusterer clusterer, boolean globalInfo) {
    StringBuffer optionsText = new StringBuffer("");
    // General options
    optionsText.append("\n\nGeneral options:\n\n");
    optionsText.append("-h or -help\n");
    optionsText.append("\tOutput help information.\n");
    optionsText.append("-synopsis or -info\n");
    optionsText.append("\tOutput synopsis for clusterer (use in conjunction " + " with -h)\n");
    optionsText.append("-t <name of training file>\n");
    optionsText.append("\tSets training file.\n");
    optionsText.append("-T <name of test file>\n");
    optionsText.append("\tSets test file.\n");
    optionsText.append("-l <name of input file>\n");
    optionsText.append("\tSets model input file.\n");
    optionsText.append("-d <name of output file>\n");
    optionsText.append("\tSets model output file.\n");
    optionsText.append("-p <attribute range>\n");
    optionsText.append("\tOutput predictions. Predictions are for " + "training file"
            + "\n\tif only training file is specified," + "\n\totherwise predictions are for the test file."
            + "\n\tThe range specifies attribute values to be output"
            + "\n\twith the predictions. Use '-p 0' for none.\n");
    optionsText.append("-x <number of folds>\n");
    optionsText.append("\tOnly Distribution Clusterers can be cross validated.\n");
    optionsText.append("-s <random number seed>\n");
    optionsText.append("\tSets the seed for randomizing the data in cross-validation\n");
    optionsText.append("-c <class index>\n");
    optionsText.append("\tSet class attribute. If supplied, class is ignored");
    optionsText.append("\n\tduring clustering but is used in a classes to");
    optionsText.append("\n\tclusters evaluation.\n");
    if (clusterer instanceof Drawable) {
        optionsText.append("-g <name of graph file>\n");
        optionsText.append("\tOutputs the graph representation of the clusterer to the file.\n");
    }

    // Get scheme-specific options
    if (clusterer instanceof OptionHandler) {
        optionsText.append("\nOptions specific to " + clusterer.getClass().getName() + ":\n\n");
        Enumeration enu = ((OptionHandler) clusterer).listOptions();

        while (enu.hasMoreElements()) {
            Option option = (Option) enu.nextElement();
            optionsText.append(option.synopsis() + '\n');
            optionsText.append(option.description() + "\n");
        }
    }

    // Get global information (if available)
    if (globalInfo) {
        try {
            String gi = getGlobalInfo(clusterer);
            optionsText.append(gi);
        } catch (Exception ex) {
            // quietly ignore
        }
    }

    return optionsText.toString();
}

---

From source file:core.DatabaseSaverEx.java

License:Open Source License

/**
 * Main method./*from w  ww .j a  va2 s.co  m*/
 *
 * @param options should contain the options of a Saver.
 */
public static void main(String[] options) {

    StringBuffer text = new StringBuffer();
    text.append("\n\nDatabaseSaver options:\n");
    try {
        DatabaseSaver asv = new DatabaseSaver();
        try {
            Enumeration enumi = asv.listOptions();
            while (enumi.hasMoreElements()) {
                Option option = (Option) enumi.nextElement();
                text.append(option.synopsis() + '\n');
                text.append(option.description() + '\n');
            }
            asv.setOptions(options);
            asv.setDestination();
        } catch (Exception ex) {
            ex.printStackTrace();
        }
        //incremental

        /*asv.setRetrieval(INCREMENTAL);
        Instances instances = asv.getInstances();
        asv.setStructure(instances);
        for(int i = 0; i < instances.numInstances(); i++){ //last instance is null and finishes incremental saving
            asv.writeIncremental(instances.instance(i));
        }
        asv.writeIncremental(null);*/

        //batch
        asv.writeBatch();
    } catch (Exception ex) {
        ex.printStackTrace();
        System.out.println(text);
    }

}

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