Example usage for org.apache.mahout.common.commandline DefaultOptionCreator t1Option

Introduction

In this page you can find the example usage for org.apache.mahout.common.commandline DefaultOptionCreator t1Option.

Prototype

public static DefaultOptionBuilder t1Option() 

Source Link

Document

Returns a default command line option for specification of T1.

Usage

From source file:chapter5.KMeanSample.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    addInputOption();//from  w  ww  . ja v  a2s .  c  om
    addOutputOption();
    addOption(DefaultOptionCreator.distanceMeasureOption().create());
    addOption(DefaultOptionCreator.numClustersOption().create());
    addOption(DefaultOptionCreator.t1Option().create());
    addOption(DefaultOptionCreator.t2Option().create());
    addOption(DefaultOptionCreator.convergenceOption().create());
    addOption(DefaultOptionCreator.maxIterationsOption().create());
    addOption(DefaultOptionCreator.overwriteOption().create());

    Map<String, String> argMap = parseArguments(args);
    if (argMap == null) {
        return -1;
    }

    Path input = getInputPath();
    Path output = getOutputPath();
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    if (measureClass == null) {
        measureClass = SquaredEuclideanDistanceMeasure.class.getName();
    }
    double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION));
    int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
        HadoopUtil.delete(getConf(), output);
    }
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    if (hasOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)) {
        int k = Integer.parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION));
        run(getConf(), input, output, measure, k, convergenceDelta, maxIterations);
    } else {
        double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
        double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
        run(getConf(), input, output, measure, t1, t2, convergenceDelta, maxIterations);
    }
    return 0;
}

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From source file:cn.macthink.hadoop.tdt.clustering.canopy.CanopyClustering.java

License:Apache License

@Override
public int run(String[] args) throws Exception {

    addInputOption();//from   ww w.  j a v  a  2  s  .  c o  m
    addOutputOption();
    addOption(DefaultOptionCreator.distanceMeasureOption().create());
    addOption(DefaultOptionCreator.t1Option().create());
    addOption(DefaultOptionCreator.t2Option().create());
    addOption(DefaultOptionCreator.overwriteOption().create());

    Map<String, List<String>> argMap = parseArguments(args);
    if (argMap == null) {
        return -1;
    }

    Path input = getInputPath();
    Path output = getOutputPath();
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
        HadoopUtil.delete(new Configuration(), output);
    }
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);

    run(input, output, measure, t1, t2);
    return 0;
}

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From source file:com.eniyitavsiye.mahoutx.hadoop.Job.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    addInputOption();//w ww  .  ja  v  a2 s.com
    addOutputOption();
    addOption(DefaultOptionCreator.distanceMeasureOption().create());
    addOption(DefaultOptionCreator.numClustersOption().create());
    addOption(DefaultOptionCreator.t1Option().create());
    addOption(DefaultOptionCreator.t2Option().create());
    addOption(DefaultOptionCreator.convergenceOption().create());
    addOption(DefaultOptionCreator.maxIterationsOption().create());
    addOption(DefaultOptionCreator.overwriteOption().create());

    Map<String, List<String>> argMap = parseArguments(args);
    if (argMap == null) {
        return -1;
    }

    Path input = getInputPath();
    Path output = getOutputPath();
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    if (measureClass == null) {
        measureClass = SquaredEuclideanDistanceMeasure.class.getName();
    }
    double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION));
    int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
        HadoopUtil.delete(getConf(), output);
    }
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    if (hasOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)) {
        int k = Integer.parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION));
        run(getConf(), input, output, measure, k, convergenceDelta, maxIterations);
    } else {
        double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
        double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
        run(getConf(), input, output, measure, t1, t2, convergenceDelta, maxIterations);
    }
    return 0;
}

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From source file:org.conan.mymahout.clustering.syntheticcontrol.fuzzykmeans.Job.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    addInputOption();//from  www . jav  a2 s.c om
    addOutputOption();
    addOption(DefaultOptionCreator.distanceMeasureOption().create());
    addOption(DefaultOptionCreator.convergenceOption().create());
    addOption(DefaultOptionCreator.maxIterationsOption().create());
    addOption(DefaultOptionCreator.overwriteOption().create());
    addOption(DefaultOptionCreator.t1Option().create());
    addOption(DefaultOptionCreator.t2Option().create());
    addOption(M_OPTION, M_OPTION, "coefficient normalization factor, must be greater than 1", true);

    Map<String, List<String>> argMap = parseArguments(args);
    if (argMap == null) {
        return -1;
    }

    Path input = getInputPath();
    Path output = getOutputPath();
    String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION);
    if (measureClass == null) {
        measureClass = SquaredEuclideanDistanceMeasure.class.getName();
    }
    double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION));
    int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION));
    float fuzziness = Float.parseFloat(getOption(M_OPTION));

    addOption(new DefaultOptionBuilder().withLongName(M_OPTION).withRequired(true)
            .withArgument(new ArgumentBuilder().withName(M_OPTION).withMinimum(1).withMaximum(1).create())
            .withDescription("coefficient normalization factor, must be greater than 1").withShortName(M_OPTION)
            .create());
    if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) {
        HadoopUtil.delete(getConf(), output);
    }
    DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class);
    double t1 = Double.parseDouble(getOption(DefaultOptionCreator.T1_OPTION));
    double t2 = Double.parseDouble(getOption(DefaultOptionCreator.T2_OPTION));
    run(getConf(), input, output, measure, t1, t2, maxIterations, fuzziness, convergenceDelta);
    return 0;
}

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