List of usage examples for org.apache.mahout.common.commandline DefaultOptionCreator T2_OPTION
String T2_OPTION
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From source file:chapter5.KMeanSample.java
License:Apache License
@Override public int run(String[] args) throws Exception { addInputOption();/* www . j a v a 2 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, 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; }
From source file:cn.macthink.hadoop.tdt.clustering.canopy.CanopyClustering.java
License:Apache License
@Override public int run(String[] args) throws Exception { addInputOption();/*from w ww. j a va 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; }
From source file:com.eniyitavsiye.mahoutx.hadoop.Job.java
License:Apache License
@Override public int run(String[] args) throws Exception { addInputOption();/*from w w w .jav a 2 s . co m*/ 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; }
From source file:org.conan.mymahout.clustering.syntheticcontrol.fuzzykmeans.Job.java
License:Apache License
@Override public int run(String[] args) throws Exception { addInputOption();//from w w w.j a va2s . c o m 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; }