Example usage for org.apache.commons.cli OptionBuilder create

Introduction

In this page you can find the example usage for org.apache.commons.cli OptionBuilder create.

Prototype

public static Option create() throws IllegalArgumentException 

Source Link

Document

Create an Option using the current settings

Usage

From source file:apps.classification.LearnSVMPerf.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = LearnSVMPerf.class.getName()
            + " [OPTIONS] <path to svm_perf> <trainingIndexDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("c");
    OptionBuilder.withDescription("The c value for svm_perf (default 0.01)");
    OptionBuilder.withLongOpt("c");
    OptionBuilder.isRequired(false);/*from www  .  j  a  va2s  . c o  m*/
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("l");
    OptionBuilder.withDescription("The loss function to optimize (default 2):\n"
            + "               0  Zero/one loss: 1 if vector of predictions contains error, 0 otherwise.\n"
            + "               1  F1: 100 minus the F1-score in percent.\n"
            + "               2  Errorrate: Percentage of errors in prediction vector.\n"
            + "               3  Prec/Rec Breakeven: 100 minus PRBEP in percent.\n"
            + "               4  Prec@p: 100 minus precision at p in percent.\n"
            + "               5  Rec@p: 100 minus recall at p in percent.\n"
            + "               10  ROCArea: Percentage of swapped pos/neg pairs (i.e. 100 - ROCArea).");
    OptionBuilder.withLongOpt("l");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("w");
    OptionBuilder.withDescription("Choice of structural learning algorithm (default 9):\n"
            + "               0: n-slack algorithm described in [2]\n"
            + "               1: n-slack algorithm with shrinking heuristic\n"
            + "               2: 1-slack algorithm (primal) described in [5]\n"
            + "               3: 1-slack algorithm (dual) described in [5]\n"
            + "               4: 1-slack algorithm (dual) with constraint cache [5]\n"
            + "               9: custom algorithm in svm_struct_learn_custom.c");
    OptionBuilder.withLongOpt("w");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("p");
    OptionBuilder.withDescription("The value of p used by the prec@p and rec@p loss functions (default 0)");
    OptionBuilder.withLongOpt("p");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary training file in svm_perf format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmPerfLearnerCustomizer classificationLearnerCustomizer = null;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        classificationLearnerCustomizer = new SvmPerfLearnerCustomizer(remainingArgs[0]);

        if (line.hasOption("c"))
            classificationLearnerCustomizer.setC(Float.parseFloat(line.getOptionValue("c")));

        if (line.hasOption("w"))
            classificationLearnerCustomizer.setW(Integer.parseInt(line.getOptionValue("w")));

        if (line.hasOption("p"))
            classificationLearnerCustomizer.setP(Integer.parseInt(line.getOptionValue("p")));

        if (line.hasOption("l"))
            classificationLearnerCustomizer.setL(Integer.parseInt(line.getOptionValue("l")));

        if (line.hasOption("v"))
            classificationLearnerCustomizer.printSvmPerfOutput(true);

        if (line.hasOption("s"))
            classificationLearnerCustomizer.setDeleteTrainingFiles(false);

        if (line.hasOption("t"))
            classificationLearnerCustomizer.setTempPath(line.getOptionValue("t"));

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    if (remainingArgs.length != 2) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[1];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    // LEARNING
    SvmPerfLearner classificationLearner = new SvmPerfLearner();

    classificationLearner.setRuntimeCustomizer(classificationLearnerCustomizer);

    FileSystemStorageManager storageManager = new FileSystemStorageManager(indexPath, false);
    storageManager.open();
    IIndex training = TroveReadWriteHelper.readIndex(storageManager, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);
    storageManager.close();

    IClassifier classifier = classificationLearner.build(training);

    File executableFile = new File(classificationLearnerCustomizer.getSvmPerfLearnPath());
    SvmPerfDataManager dataManager = new SvmPerfDataManager(new SvmPerfClassifierCustomizer(
            executableFile.getParentFile().getAbsolutePath() + Os.pathSeparator() + "svm_perf_classify"));
    String description = "_SVMPerf_C-" + classificationLearnerCustomizer.getC() + "_W-"
            + classificationLearnerCustomizer.getW() + "_L-" + classificationLearnerCustomizer.getL();
    if (classificationLearnerCustomizer.getL() == 4 || classificationLearnerCustomizer.getL() == 5)
        description += "_P-" + classificationLearnerCustomizer.getP();
    if (classificationLearnerCustomizer.getAdditionalParameters().length() > 0)
        description += "_" + classificationLearnerCustomizer.getAdditionalParameters();

    storageManager = new FileSystemStorageManager(indexPath, false);
    storageManager.open();
    dataManager.write(storageManager, indexName + description, classifier);
    storageManager.close();
}

---

From source file:apps.classification.ClassifySVMPerf.java

public static void main(String[] args) throws IOException {

    boolean dumpConfidences = false;

    String cmdLineSyntax = ClassifySVMPerf.class.getName()
            + " [OPTIONS] <path to svm_perf_classify> <testIndexDirectory> <modelDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("d");
    OptionBuilder.withDescription("Dump confidences file");
    OptionBuilder.withLongOpt("d");
    OptionBuilder.isRequired(false);//from   w  ww.j a v  a 2  s .c  om
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary training file in svm_perf format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmPerfClassifierCustomizer customizer = null;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        customizer = new SvmPerfClassifierCustomizer(remainingArgs[0]);

        if (line.hasOption("d"))
            dumpConfidences = true;

        if (line.hasOption("v"))
            customizer.printSvmPerfOutput(true);

        if (line.hasOption("s")) {
            customizer.setDeleteTestFiles(false);
            customizer.setDeletePredictionsFiles(false);
        }

        if (line.hasOption("t"))
            customizer.setTempPath(line.getOptionValue("t"));

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    if (remainingArgs.length != 3) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String testFile = remainingArgs[1];

    File file = new File(testFile);

    String testName = file.getName();
    String testPath = file.getParent();

    String classifierFile = remainingArgs[2];

    file = new File(classifierFile);

    String classifierName = file.getName();
    String classifierPath = file.getParent();
    FileSystemStorageManager storageManager = new FileSystemStorageManager(testPath, false);
    storageManager.open();
    IIndex test = TroveReadWriteHelper.readIndex(storageManager, testName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);
    storageManager.close();

    SvmPerfDataManager dataManager = new SvmPerfDataManager(customizer);
    storageManager = new FileSystemStorageManager(classifierPath, false);
    storageManager.open();
    SvmPerfClassifier classifier = (SvmPerfClassifier) dataManager.read(storageManager, classifierName);
    storageManager.close();

    classifier.setRuntimeCustomizer(customizer);

    // CLASSIFICATION
    String classificationName = testName + "_" + classifierName;

    Classifier classifierModule = new Classifier(test, classifier, dumpConfidences);
    classifierModule.setClassificationMode(ClassificationMode.PER_CATEGORY);
    classifierModule.exec();

    IClassificationDB testClassification = classifierModule.getClassificationDB();

    storageManager = new FileSystemStorageManager(testPath, false);
    storageManager.open();
    TroveReadWriteHelper.writeClassification(storageManager, testClassification, classificationName + ".cla",
            true);
    storageManager.close();

    if (dumpConfidences) {
        ClassificationScoreDB confidences = classifierModule.getConfidences();
        ClassificationScoreDB.write(testPath + Os.pathSeparator() + classificationName + ".confidences",
                confidences);
    }
}

---

From source file:apps.quantification.QuantifySVMPerf.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = QuantifySVMPerf.class.getName()
            + " [OPTIONS] <path to svm_perf_classify> <testIndexDirectory> <quantificationModelDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("d");
    OptionBuilder.withDescription("Dump confidences file");
    OptionBuilder.withLongOpt("d");
    OptionBuilder.isRequired(false);//from  w  ww .  j  a v  a2s . co  m
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary files in svm_perf format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmPerfClassifierCustomizer customizer = null;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        customizer = new SvmPerfClassifierCustomizer(remainingArgs[0]);

        if (line.hasOption("v"))
            customizer.printSvmPerfOutput(true);

        if (line.hasOption("s")) {
            System.out.println("Keeping temporary files.");
            customizer.setDeleteTestFiles(false);
            customizer.setDeletePredictionsFiles(false);
        }

        if (line.hasOption("t"))
            customizer.setTempPath(line.getOptionValue("t"));

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    if (remainingArgs.length != 3) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[1];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    String quantifierFilename = remainingArgs[2];

    FileSystemStorageManager indexFssm = new FileSystemStorageManager(indexPath, false);
    indexFssm.open();

    IIndex test = TroveReadWriteHelper.readIndex(indexFssm, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);

    indexFssm.close();

    FileSystemStorageManager quantifierFssm = new FileSystemStorageManager(quantifierFilename, false);
    quantifierFssm.open();

    SvmPerfDataManager classifierDataManager = new SvmPerfDataManager(customizer);

    FileSystemStorageManager fssm = new FileSystemStorageManager(quantifierFilename, false);
    fssm.open();

    IQuantifier[] quantifiers = QuantificationLearner.read(fssm, classifierDataManager,
            ClassificationMode.PER_CATEGORY);
    fssm.close();

    quantifierFssm.close();

    Quantification ccQuantification = quantifiers[0].quantify(test);
    Quantification paQuantification = quantifiers[1].quantify(test);
    Quantification accQuantification = quantifiers[2].quantify(test);
    Quantification maxQuantification = quantifiers[3].quantify(test);
    Quantification sccQuantification = quantifiers[4].quantify(test);
    Quantification spaQuantification = quantifiers[5].quantify(test);
    Quantification trueQuantification = new Quantification("True", test.getClassificationDB());

    File quantifierFile = new File(quantifierFilename);

    String quantificationName = quantifierFile.getParent() + Os.pathSeparator() + indexName + "_"
            + quantifierFile.getName() + ".txt";

    BufferedWriter writer = new BufferedWriter(new FileWriter(quantificationName));
    IShortIterator iterator = test.getCategoryDB().getCategories();
    while (iterator.hasNext()) {
        short category = iterator.next();
        String prefix = quantifierFile.getName() + "\t" + indexName + "\t"
                + test.getCategoryDB().getCategoryName(category) + "\t" + category + "\t"
                + trueQuantification.getQuantification(category) + "\t";

        writer.write(prefix + ccQuantification.getName() + "\t" + ccQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + paQuantification.getName() + "\t" + paQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + accQuantification.getName() + "\t" + accQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + maxQuantification.getName() + "\t" + maxQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + sccQuantification.getName() + "\t" + sccQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + spaQuantification.getName() + "\t" + spaQuantification.getQuantification(category)
                + "\n");
    }
    writer.close();

    BufferedWriter bfs = new BufferedWriter(new FileWriter(quantifierFile.getParent() + Os.pathSeparator()
            + indexName + "_" + quantifierFile.getName() + "_rates.txt"));
    TShortDoubleHashMap simpleTPRs = ((CCQuantifier) quantifiers[0]).getSimpleTPRs();
    TShortDoubleHashMap simpleFPRs = ((CCQuantifier) quantifiers[0]).getSimpleFPRs();
    TShortDoubleHashMap maxTPRs = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3]).getInternalQuantifier())
            .getSimpleTPRs();
    TShortDoubleHashMap maxFPRs = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3]).getInternalQuantifier())
            .getSimpleFPRs();
    TShortDoubleHashMap scaledTPRs = ((PAQuantifier) quantifiers[1]).getScaledTPRs();
    TShortDoubleHashMap scaledFPRs = ((PAQuantifier) quantifiers[1]).getScaledFPRs();

    ContingencyTableSet simpleContingencyTableSet = ((CCQuantifier) quantifiers[0]).getContingencyTableSet();
    ContingencyTableSet maxContingencyTableSet = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3])
            .getInternalQuantifier()).getContingencyTableSet();

    short[] cats = simpleTPRs.keys();
    for (int i = 0; i < cats.length; ++i) {
        short cat = cats[i];
        String catName = test.getCategoryDB().getCategoryName(cat);
        ContingencyTable simpleContingencyTable = simpleContingencyTableSet.getCategoryContingencyTable(cat);
        ContingencyTable maxContingencyTable = maxContingencyTableSet.getCategoryContingencyTable(cat);
        double simpleTPR = simpleTPRs.get(cat);
        double simpleFPR = simpleFPRs.get(cat);
        double maxTPR = maxTPRs.get(cat);
        double maxFPR = maxFPRs.get(cat);
        double scaledTPR = scaledTPRs.get(cat);
        double scaledFPR = scaledFPRs.get(cat);
        String line = indexName + "_" + quantifierFile.getName() + "\ttest\tsimple\t" + catName + "\t" + cat
                + "\t" + simpleContingencyTable.tp() + "\t" + simpleContingencyTable.fp() + "\t"
                + simpleContingencyTable.fn() + "\t" + simpleContingencyTable.tn() + "\t" + simpleTPR + "\t"
                + simpleFPR + "\n";
        bfs.write(line);
        line = indexName + "_" + quantifierFile.getName() + "\ttest\tmax\t" + catName + "\t" + cat + "\t"
                + maxContingencyTable.tp() + "\t" + maxContingencyTable.fp() + "\t" + maxContingencyTable.fn()
                + "\t" + maxContingencyTable.tn() + "\t" + maxTPR + "\t" + maxFPR + "\n";
        bfs.write(line);
        line = indexName + "_" + quantifierFile.getName() + "\ttest\tscaled\t" + catName + "\t" + cat + "\t"
                + simpleContingencyTable.tp() + "\t" + simpleContingencyTable.fp() + "\t"
                + simpleContingencyTable.fn() + "\t" + simpleContingencyTable.tn() + "\t" + scaledTPR + "\t"
                + scaledFPR + "\n";
        bfs.write(line);
    }
    bfs.close();
}

---

From source file:apps.quantification.QuantifySVMLight.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = QuantifySVMLight.class.getName()
            + " [OPTIONS] <path to svm_light_classify> <testIndexDirectory> <quantificationModelDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("d");
    OptionBuilder.withDescription("Dump confidences file");
    OptionBuilder.withLongOpt("d");
    OptionBuilder.isRequired(false);/*from   ww  w. j a  va  2  s .  c om*/
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary files in svm_light format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmLightClassifierCustomizer customizer = null;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        customizer = new SvmLightClassifierCustomizer(remainingArgs[0]);

        if (line.hasOption("v"))
            customizer.printSvmLightOutput(true);

        if (line.hasOption("s")) {
            System.out.println("Keeping temporary files.");
            customizer.setDeleteTestFiles(false);
            customizer.setDeletePredictionsFiles(false);
        }

        if (line.hasOption("t"))
            customizer.setTempPath(line.getOptionValue("t"));

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    if (remainingArgs.length != 3) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[1];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    String quantifierFilename = remainingArgs[2];

    FileSystemStorageManager indexFssm = new FileSystemStorageManager(indexPath, false);
    indexFssm.open();

    IIndex test = TroveReadWriteHelper.readIndex(indexFssm, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);

    indexFssm.close();

    FileSystemStorageManager quantifierFssm = new FileSystemStorageManager(quantifierFilename, false);
    quantifierFssm.open();

    SvmLightDataManager classifierDataManager = new SvmLightDataManager(customizer);

    FileSystemStorageManager fssm = new FileSystemStorageManager(quantifierFilename, false);
    fssm.open();

    IQuantifier[] quantifiers = QuantificationLearner.read(fssm, classifierDataManager,
            ClassificationMode.PER_CATEGORY);
    fssm.close();

    quantifierFssm.close();

    Quantification ccQuantification = quantifiers[0].quantify(test);
    Quantification paQuantification = quantifiers[1].quantify(test);
    Quantification accQuantification = quantifiers[2].quantify(test);
    Quantification maxQuantification = quantifiers[3].quantify(test);
    Quantification sccQuantification = quantifiers[4].quantify(test);
    Quantification spaQuantification = quantifiers[5].quantify(test);
    Quantification trueQuantification = new Quantification("True", test.getClassificationDB());

    File quantifierFile = new File(quantifierFilename);

    String quantificationName = quantifierFile.getParent() + Os.pathSeparator() + indexName + "_"
            + quantifierFile.getName() + ".txt";

    BufferedWriter writer = new BufferedWriter(new FileWriter(quantificationName));
    IShortIterator iterator = test.getCategoryDB().getCategories();
    while (iterator.hasNext()) {
        short category = iterator.next();
        String prefix = quantifierFile.getName() + "\t" + indexName + "\t"
                + test.getCategoryDB().getCategoryName(category) + "\t" + category + "\t"
                + trueQuantification.getQuantification(category) + "\t";

        writer.write(prefix + ccQuantification.getName() + "\t" + ccQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + paQuantification.getName() + "\t" + paQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + accQuantification.getName() + "\t" + accQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + maxQuantification.getName() + "\t" + maxQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + sccQuantification.getName() + "\t" + sccQuantification.getQuantification(category)
                + "\n");
        writer.write(prefix + spaQuantification.getName() + "\t" + spaQuantification.getQuantification(category)
                + "\n");
    }
    writer.close();

    BufferedWriter bfs = new BufferedWriter(new FileWriter(quantifierFile.getParent() + Os.pathSeparator()
            + indexName + "_" + quantifierFile.getName() + "_rates.txt"));
    TShortDoubleHashMap simpleTPRs = ((CCQuantifier) quantifiers[0]).getSimpleTPRs();
    TShortDoubleHashMap simpleFPRs = ((CCQuantifier) quantifiers[0]).getSimpleFPRs();
    TShortDoubleHashMap maxTPRs = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3]).getInternalQuantifier())
            .getSimpleTPRs();
    TShortDoubleHashMap maxFPRs = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3]).getInternalQuantifier())
            .getSimpleFPRs();
    TShortDoubleHashMap scaledTPRs = ((PAQuantifier) quantifiers[1]).getScaledTPRs();
    TShortDoubleHashMap scaledFPRs = ((PAQuantifier) quantifiers[1]).getScaledFPRs();

    ContingencyTableSet simpleContingencyTableSet = ((CCQuantifier) quantifiers[0]).getContingencyTableSet();
    ContingencyTableSet maxContingencyTableSet = ((CCQuantifier) ((ScaledQuantifier) quantifiers[3])
            .getInternalQuantifier()).getContingencyTableSet();

    short[] cats = simpleTPRs.keys();
    for (int i = 0; i < cats.length; ++i) {
        short cat = cats[i];
        String catName = test.getCategoryDB().getCategoryName(cat);
        ContingencyTable simpleContingencyTable = simpleContingencyTableSet.getCategoryContingencyTable(cat);
        ContingencyTable maxContingencyTable = maxContingencyTableSet.getCategoryContingencyTable(cat);
        double simpleTPR = simpleTPRs.get(cat);
        double simpleFPR = simpleFPRs.get(cat);
        double maxTPR = maxTPRs.get(cat);
        double maxFPR = maxFPRs.get(cat);
        double scaledTPR = scaledTPRs.get(cat);
        double scaledFPR = scaledFPRs.get(cat);
        String line = indexName + "_" + quantifierFile.getName() + "\ttest\tsimple\t" + catName + "\t" + cat
                + "\t" + simpleContingencyTable.tp() + "\t" + simpleContingencyTable.fp() + "\t"
                + simpleContingencyTable.fn() + "\t" + simpleContingencyTable.tn() + "\t" + simpleTPR + "\t"
                + simpleFPR + "\n";
        bfs.write(line);
        line = indexName + "_" + quantifierFile.getName() + "\ttest\tmax\t" + catName + "\t" + cat + "\t"
                + maxContingencyTable.tp() + "\t" + maxContingencyTable.fp() + "\t" + maxContingencyTable.fn()
                + "\t" + maxContingencyTable.tn() + "\t" + maxTPR + "\t" + maxFPR + "\n";
        bfs.write(line);
        line = indexName + "_" + quantifierFile.getName() + "\ttest\tscaled\t" + catName + "\t" + cat + "\t"
                + simpleContingencyTable.tp() + "\t" + simpleContingencyTable.fp() + "\t"
                + simpleContingencyTable.fn() + "\t" + simpleContingencyTable.tn() + "\t" + scaledTPR + "\t"
                + scaledFPR + "\n";
        bfs.write(line);
    }
    bfs.close();
}

---

From source file:jp.primecloud.auto.tool.management.main.Main.java

public static void main(String args[]) {
    Options options = new Options();
    options.addOption("Z", false, "Zabbix mode");
    options.addOption("U", false, "UPDATE mode");
    options.addOption("S", false, "SELECT mode");
    options.addOption("C", false, "Create Mode");
    options.addOption("P", false, "Show Platform");
    options.addOption("L", false, "Show Users");
    options.addOption("E", false, "Ecrypt UserPassword");
    options.addOption("I", false, "IaasGateway Mode");
    options.addOption("A", false, "PCC-API Genarate ID or Key Mode");
    options.addOption("W", false, "Decrypt UserPassword");

    options.addOption("username", true, "Create the username");
    options.addOption("password", true, "Create the password");
    options.addOption("firstname", true, "Create the firstname");
    options.addOption("familyname", true, "Create the familyname");
    options.addOption("userno", true, "Create the userno");

    options.addOption("dburl", "connectionurl", true, "PrimeCloud Controller database url");
    options.addOption("dbuser", "username", true, "PrimeCloud Controller database username");
    options.addOption("dbpass", "password", true, "PrimeCloud Controller database password");

    options.addOption("sql", true, "SQL");
    options.addOption("columnname", true, "columnName");
    options.addOption("columntype", true, "columnType");
    options.addOption("salt", true, "Salt");

    OptionBuilder.withLongOpt("prepared");
    OptionBuilder.hasArgs();/*w ww. j  a v a2 s  . c  o  m*/
    OptionBuilder.withDescription("execute as PreparedStatement");
    OptionBuilder.withArgName("params");
    Option optionPrepared = OptionBuilder.create();
    options.addOption(optionPrepared);

    // for Zabbix
    options.addOption("enable", false, "enable");
    options.addOption("disable", false, "disable");
    options.addOption("get", false, "getUser from zabbix");
    options.addOption("check", false, "API setting check for zabbix");

    options.addOption("config", true, "Property can obtain from management-config.properties");
    options.addOption("platformkind", true, "Platform kind. e.g. ec2 and ec2_vpc or vmware");
    options.addOption("platformname", true, "Platform can obtain from auto-config.xml");
    options.addOption("platformno", true, "Platform can obtain from auto-config.xml");

    // for IaasGateway(AWS, Cloudstack)
    options.addOption("keyname", true, "import your key pair as keyName");
    options.addOption("publickey", true, "import your public key");

    // for PCC
    options.addOption("accessid", true, "accessid for PCC-API");
    options.addOption("secretkey", true, "secretkey for PCC-API");
    options.addOption("generatetype", true, "genarateType for PCC-API");

    options.addOption("h", "help", false, "help");

    CommandLineParser parser = new BasicParser();

    CommandLine commandLine;
    try {
        commandLine = parser.parse(options, args);
    } catch (ParseException e) {
        System.out.println(
                "???????? -h?????????");
        return;
    }

    if (commandLine.hasOption("h")) {
        HelpFormatter f = new HelpFormatter();
        f.printHelp("PCC script ", options);
    }

    ManagementConfigLoader.init();
    //?

    //Zabbix?
    if (commandLine.hasOption("Z")) {
        if (commandLine.hasOption("C")) {
            //Zabbix?
            ZabbixMain.createExecute(commandLine);
        } else if (commandLine.hasOption("U")) {
            //Zabbix
            ZabbixMain.updateExecute(commandLine);
        } else if (commandLine.hasOption("disable")) {
            //Zabbix
            ZabbixMain.disableExecute(commandLine);
        } else if (commandLine.hasOption("enable")) {
            //Zabbix
            ZabbixMain.enableExecute(commandLine);
        } else if (commandLine.hasOption("get")) {
            //Zabbix?
            ZabbixMain.getUser(commandLine);
        } else if (commandLine.hasOption("check")) {
            //Zabbix??
            ZabbixMain.checkApiVersion();
        }
        //PCC?
    } else if (commandLine.hasOption("U")) {
        if (commandLine.hasOption("prepared")) {
            SQLMain.updateExecutePrepared(commandLine);
        } else {
            //Update?
            SQLMain.updateExecute(commandLine);
        }
    } else if (commandLine.hasOption("S")) {
        //Select?
        SQLMain.selectExecute(commandLine);
    } else if (commandLine.hasOption("P")) {
        //?
        ConfigMain.showPlatforms();
    } else if (commandLine.hasOption("L")) {
        //PCC?
        UserService.showUserPlatform();
    } else if (commandLine.hasOption("config")) {
        //???
        ConfigMain.getProperty(commandLine.getOptionValue("config"));
    } else if (commandLine.hasOption("platformname") && commandLine.hasOption("platformkind")) {
        //??????
        ConfigMain.getPlatformNo(commandLine.getOptionValue("platformname"),
                commandLine.getOptionValue("platformkind"));
    } else if (commandLine.hasOption("E")) {
        //PCC??
        UserService.encryptUserPassword(commandLine.getOptionValue("password"));
    } else if (commandLine.hasOption("I")) {
        //IaasGatewayCall??AWS or Cloudstack???
        IaasGatewayMain.importExecute(commandLine);
    } else if (commandLine.hasOption("A")) {
        PccApiGenerateService.genarate(commandLine);
    } else if (commandLine.hasOption("W")) {
        //PCC??
        UserService.decryptUserPassword(commandLine.getOptionValue("password"),
                commandLine.getOptionValue("salt"));
    }
}

---

From source file:apps.quantification.LearnQuantificationSVMLight.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = LearnQuantificationSVMLight.class.getName()
            + " [OPTIONS] <path to svm_light_learn> <path to svm_light_classify> <trainingIndexDirectory> <outputDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("f");
    OptionBuilder.withDescription("Number of folds");
    OptionBuilder.withLongOpt("f");
    OptionBuilder.isRequired(true);//ww w. java 2 s.  co  m
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("c");
    OptionBuilder.withDescription("The c value for svm_light (default 1)");
    OptionBuilder.withLongOpt("c");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("k");
    OptionBuilder.withDescription("Kernel type (default 0: linear, 1: polynomial, 2: RBF, 3: sigmoid)");
    OptionBuilder.withLongOpt("k");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary training file in svm_light format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmLightLearnerCustomizer classificationLearnerCustomizer = null;
    SvmLightClassifierCustomizer classificationCustomizer = null;

    int folds = -1;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        classificationLearnerCustomizer = new SvmLightLearnerCustomizer(remainingArgs[0]);
        classificationCustomizer = new SvmLightClassifierCustomizer(remainingArgs[1]);

        folds = Integer.parseInt(line.getOptionValue("f"));

        if (line.hasOption("c"))
            classificationLearnerCustomizer.setC(Float.parseFloat(line.getOptionValue("c")));

        if (line.hasOption("k")) {
            System.out.println("Kernel type: " + line.getOptionValue("k"));
            classificationLearnerCustomizer.setKernelType(Integer.parseInt(line.getOptionValue("k")));
        }

        if (line.hasOption("v"))
            classificationLearnerCustomizer.printSvmLightOutput(true);

        if (line.hasOption("s"))
            classificationLearnerCustomizer.setDeleteTrainingFiles(false);

        if (line.hasOption("t")) {
            classificationLearnerCustomizer.setTempPath(line.getOptionValue("t"));
            classificationCustomizer.setTempPath(line.getOptionValue("t"));
        }

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    assert (classificationLearnerCustomizer != null);

    if (remainingArgs.length != 4) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[2];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    String outputPath = remainingArgs[3];

    SvmLightLearner classificationLearner = new SvmLightLearner();

    classificationLearner.setRuntimeCustomizer(classificationLearnerCustomizer);

    FileSystemStorageManager fssm = new FileSystemStorageManager(indexPath, false);
    fssm.open();

    IIndex training = TroveReadWriteHelper.readIndex(fssm, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);

    final TextualProgressBar progressBar = new TextualProgressBar("Learning the quantifiers");

    IOperationStatusListener status = new IOperationStatusListener() {

        @Override
        public void operationStatus(double percentage) {
            progressBar.signal((int) percentage);
        }
    };

    QuantificationLearner quantificationLearner = new QuantificationLearner(folds, classificationLearner,
            classificationLearnerCustomizer, classificationCustomizer, ClassificationMode.PER_CATEGORY,
            new LogisticFunction(), status);

    IQuantifier[] quantifiers = quantificationLearner.learn(training);

    File executableFile = new File(classificationLearnerCustomizer.getSvmLightLearnPath());
    IDataManager classifierDataManager = new SvmLightDataManager(new SvmLightClassifierCustomizer(
            executableFile.getParentFile().getAbsolutePath() + Os.pathSeparator() + "svm_light_classify"));
    String description = "_SVMLight_C-" + classificationLearnerCustomizer.getC() + "_K-"
            + classificationLearnerCustomizer.getKernelType();
    if (classificationLearnerCustomizer.getAdditionalParameters().length() > 0)
        description += "_" + classificationLearnerCustomizer.getAdditionalParameters();
    String quantifierPrefix = indexName + "_Quantifier-" + folds + description;

    FileSystemStorageManager fssmo = new FileSystemStorageManager(
            outputPath + File.separatorChar + quantifierPrefix, true);
    fssmo.open();
    QuantificationLearner.write(quantifiers, fssmo, classifierDataManager);
    fssmo.close();

    BufferedWriter bfs = new BufferedWriter(
            new FileWriter(outputPath + File.separatorChar + quantifierPrefix + "_rates.txt"));
    TShortDoubleHashMap simpleTPRs = quantificationLearner.getSimpleTPRs();
    TShortDoubleHashMap simpleFPRs = quantificationLearner.getSimpleFPRs();
    TShortDoubleHashMap scaledTPRs = quantificationLearner.getScaledTPRs();
    TShortDoubleHashMap scaledFPRs = quantificationLearner.getScaledFPRs();

    ContingencyTableSet contingencyTableSet = quantificationLearner.getContingencyTableSet();

    short[] cats = simpleTPRs.keys();
    for (int i = 0; i < cats.length; ++i) {
        short cat = cats[i];
        String catName = training.getCategoryDB().getCategoryName(cat);
        ContingencyTable contingencyTable = contingencyTableSet.getCategoryContingencyTable(cat);
        double simpleTPR = simpleTPRs.get(cat);
        double simpleFPR = simpleFPRs.get(cat);
        double scaledTPR = scaledTPRs.get(cat);
        double scaledFPR = scaledFPRs.get(cat);
        String line = quantifierPrefix + "\ttrain\tsimple\t" + catName + "\t" + cat + "\t"
                + contingencyTable.tp() + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t"
                + contingencyTable.tn() + "\t" + simpleTPR + "\t" + simpleFPR + "\n";
        bfs.write(line);
        line = quantifierPrefix + "\ttrain\tscaled\t" + catName + "\t" + cat + "\t" + contingencyTable.tp()
                + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t" + contingencyTable.tn()
                + "\t" + scaledTPR + "\t" + scaledFPR + "\n";
        bfs.write(line);
    }
    bfs.close();
}

---

From source file:apps.quantification.LearnQuantificationSVMPerf.java

public static void main(String[] args) throws IOException {
    String cmdLineSyntax = LearnQuantificationSVMPerf.class.getName()
            + " [OPTIONS] <path to svm_perf_learn> <path to svm_perf_classify> <trainingIndexDirectory> <outputDirectory>";

    Options options = new Options();

    OptionBuilder.withArgName("f");
    OptionBuilder.withDescription("Number of folds");
    OptionBuilder.withLongOpt("f");
    OptionBuilder.isRequired(true);/*  w w  w .  j  av  a2 s  . co  m*/
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("c");
    OptionBuilder.withDescription("The c value for svm_perf (default 0.01)");
    OptionBuilder.withLongOpt("c");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("t");
    OptionBuilder.withDescription("Path for temporary files");
    OptionBuilder.withLongOpt("t");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("l");
    OptionBuilder.withDescription("The loss function to optimize (default 2):\n"
            + "               0  Zero/one loss: 1 if vector of predictions contains error, 0 otherwise.\n"
            + "               1  F1: 100 minus the F1-score in percent.\n"
            + "               2  Errorrate: Percentage of errors in prediction vector.\n"
            + "               3  Prec/Rec Breakeven: 100 minus PRBEP in percent.\n"
            + "               4  Prec@p: 100 minus precision at p in percent.\n"
            + "               5  Rec@p: 100 minus recall at p in percent.\n"
            + "               10  ROCArea: Percentage of swapped pos/neg pairs (i.e. 100 - ROCArea).");
    OptionBuilder.withLongOpt("l");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("w");
    OptionBuilder.withDescription("Choice of structural learning algorithm (default 9):\n"
            + "               0: n-slack algorithm described in [2]\n"
            + "               1: n-slack algorithm with shrinking heuristic\n"
            + "               2: 1-slack algorithm (primal) described in [5]\n"
            + "               3: 1-slack algorithm (dual) described in [5]\n"
            + "               4: 1-slack algorithm (dual) with constraint cache [5]\n"
            + "               9: custom algorithm in svm_struct_learn_custom.c");
    OptionBuilder.withLongOpt("w");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("p");
    OptionBuilder.withDescription("The value of p used by the prec@p and rec@p loss functions (default 0)");
    OptionBuilder.withLongOpt("p");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg();
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("v");
    OptionBuilder.withDescription("Verbose output");
    OptionBuilder.withLongOpt("v");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    OptionBuilder.withArgName("s");
    OptionBuilder.withDescription("Don't delete temporary training file in svm_perf format (default: delete)");
    OptionBuilder.withLongOpt("s");
    OptionBuilder.isRequired(false);
    OptionBuilder.hasArg(false);
    options.addOption(OptionBuilder.create());

    SvmPerfLearnerCustomizer classificationLearnerCustomizer = null;
    SvmPerfClassifierCustomizer classificationCustomizer = null;

    int folds = -1;

    GnuParser parser = new GnuParser();
    String[] remainingArgs = null;
    try {
        CommandLine line = parser.parse(options, args);

        remainingArgs = line.getArgs();

        classificationLearnerCustomizer = new SvmPerfLearnerCustomizer(remainingArgs[0]);
        classificationCustomizer = new SvmPerfClassifierCustomizer(remainingArgs[1]);

        folds = Integer.parseInt(line.getOptionValue("f"));

        if (line.hasOption("c"))
            classificationLearnerCustomizer.setC(Float.parseFloat(line.getOptionValue("c")));

        if (line.hasOption("w"))
            classificationLearnerCustomizer.setW(Integer.parseInt(line.getOptionValue("w")));

        if (line.hasOption("p"))
            classificationLearnerCustomizer.setP(Integer.parseInt(line.getOptionValue("p")));

        if (line.hasOption("l"))
            classificationLearnerCustomizer.setL(Integer.parseInt(line.getOptionValue("l")));

        if (line.hasOption("v"))
            classificationLearnerCustomizer.printSvmPerfOutput(true);

        if (line.hasOption("s"))
            classificationLearnerCustomizer.setDeleteTrainingFiles(false);

        if (line.hasOption("t")) {
            classificationLearnerCustomizer.setTempPath(line.getOptionValue("t"));
            classificationCustomizer.setTempPath(line.getOptionValue("t"));
        }

    } catch (Exception exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    assert (classificationLearnerCustomizer != null);

    if (remainingArgs.length != 4) {
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(cmdLineSyntax, options);
        System.exit(-1);
    }

    String indexFile = remainingArgs[2];

    File file = new File(indexFile);

    String indexName = file.getName();
    String indexPath = file.getParent();

    String outputPath = remainingArgs[3];

    SvmPerfLearner classificationLearner = new SvmPerfLearner();

    classificationLearner.setRuntimeCustomizer(classificationLearnerCustomizer);

    FileSystemStorageManager fssm = new FileSystemStorageManager(indexPath, false);
    fssm.open();

    IIndex training = TroveReadWriteHelper.readIndex(fssm, indexName, TroveContentDBType.Full,
            TroveClassificationDBType.Full);

    final TextualProgressBar progressBar = new TextualProgressBar("Learning the quantifiers");

    IOperationStatusListener status = new IOperationStatusListener() {

        @Override
        public void operationStatus(double percentage) {
            progressBar.signal((int) percentage);
        }
    };

    QuantificationLearner quantificationLearner = new QuantificationLearner(folds, classificationLearner,
            classificationLearnerCustomizer, classificationCustomizer, ClassificationMode.PER_CATEGORY,
            new LogisticFunction(), status);

    IQuantifier[] quantifiers = quantificationLearner.learn(training);

    File executableFile = new File(classificationLearnerCustomizer.getSvmPerfLearnPath());
    IDataManager classifierDataManager = new SvmPerfDataManager(new SvmPerfClassifierCustomizer(
            executableFile.getParentFile().getAbsolutePath() + Os.pathSeparator() + "svm_perf_classify"));
    String description = "_SVMPerf_C-" + classificationLearnerCustomizer.getC() + "_W-"
            + classificationLearnerCustomizer.getW() + "_L-" + classificationLearnerCustomizer.getL();
    if (classificationLearnerCustomizer.getL() == 4 || classificationLearnerCustomizer.getL() == 5)
        description += "_P-" + classificationLearnerCustomizer.getP();
    if (classificationLearnerCustomizer.getAdditionalParameters().length() > 0)
        description += "_" + classificationLearnerCustomizer.getAdditionalParameters();
    String quantifierPrefix = indexName + "_Quantifier-" + folds + description;

    FileSystemStorageManager fssmo = new FileSystemStorageManager(
            outputPath + File.separatorChar + quantifierPrefix, true);
    fssmo.open();
    QuantificationLearner.write(quantifiers, fssmo, classifierDataManager);
    fssmo.close();

    BufferedWriter bfs = new BufferedWriter(
            new FileWriter(outputPath + File.separatorChar + quantifierPrefix + "_rates.txt"));
    TShortDoubleHashMap simpleTPRs = quantificationLearner.getSimpleTPRs();
    TShortDoubleHashMap simpleFPRs = quantificationLearner.getSimpleFPRs();
    TShortDoubleHashMap scaledTPRs = quantificationLearner.getScaledTPRs();
    TShortDoubleHashMap scaledFPRs = quantificationLearner.getScaledFPRs();

    ContingencyTableSet contingencyTableSet = quantificationLearner.getContingencyTableSet();

    short[] cats = simpleTPRs.keys();
    for (int i = 0; i < cats.length; ++i) {
        short cat = cats[i];
        String catName = training.getCategoryDB().getCategoryName(cat);
        ContingencyTable contingencyTable = contingencyTableSet.getCategoryContingencyTable(cat);
        double simpleTPR = simpleTPRs.get(cat);
        double simpleFPR = simpleFPRs.get(cat);
        double scaledTPR = scaledTPRs.get(cat);
        double scaledFPR = scaledFPRs.get(cat);
        String line = quantifierPrefix + "\ttrain\tsimple\t" + catName + "\t" + cat + "\t"
                + contingencyTable.tp() + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t"
                + contingencyTable.tn() + "\t" + simpleTPR + "\t" + simpleFPR + "\n";
        bfs.write(line);
        line = quantifierPrefix + "\ttrain\tscaled\t" + catName + "\t" + cat + "\t" + contingencyTable.tp()
                + "\t" + contingencyTable.fp() + "\t" + contingencyTable.fn() + "\t" + contingencyTable.tn()
                + "\t" + scaledTPR + "\t" + scaledFPR + "\n";
        bfs.write(line);
    }
    bfs.close();
}

---

From source file:com.maxl.java.aips2sqlite.Aips2Sqlite.java

/**
 * Adds an option into the command line parser
 * //from w ww  . j a va 2  s . c om
 * @param optionName - the option name
 * @param description - option descriptiuon
 * @param hasValue - if set to true, --option=value, otherwise, --option is a boolean
 * @param isMandatory - if set to true, the option must be provided.
 */
@SuppressWarnings("static-access")
static void addOption(Options opts, String optionName, String description, boolean hasValue,
        boolean isMandatory) {
    OptionBuilder opt = OptionBuilder.withLongOpt(optionName);
    opt = opt.withDescription(description);
    if (hasValue)
        opt = opt.hasArg();
    if (isMandatory)
        opt = opt.isRequired();
    opts.addOption(opt.create());
}

---

From source file:net.nicholaswilliams.java.licensing.licensor.interfaces.cli.spi.CliOptionsBuilder.java

public Option create() {
    return OptionBuilder.create();
}

---

From source file:com.vectorization.client.Application.java

private static Options createOptions() {
    Options options = new Options();
    options.addOption("D", "database", true, "Database to use.");
    options.addOption("h", "host", true, "Connect to host.");
    OptionBuilder.withLongOpt("help");
    OptionBuilder.withDescription("Print this message");
    Option help = OptionBuilder.create();
    options.addOption(help);// w w  w  .ja v  a2  s.com
    Option passwordOption = new Option("p", "password", true, "Password to use when connecting "
            + "to server.  If password is not " + "given it's asked from the tty.");
    passwordOption.setOptionalArg(true);
    options.addOption(passwordOption);
    options.addOption("P", "port", true, "Port number to use for connection");
    options.addOption("u", "user", true, "User for login if not current user.");
    options.addOption("V", "version", false, "Output version information and exit.");
    return options;
}

---

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