List of usage examples for org.apache.commons.cli2.builder DefaultOptionBuilder DefaultOptionBuilder
public DefaultOptionBuilder()
From source file:org.apache.mahout.common.commandline.DefaultOptionCreator.java
/** * Returns a default command line option for specifying a Lucene analyzer class * @return {@link DefaultOptionBuilder}/*from w ww.j a v a 2 s. c om*/ */ public static DefaultOptionBuilder analyzerOption() { return new DefaultOptionBuilder().withLongName(ANALYZER_NAME_OPTION).withRequired(false) .withDescription("If present, the name of a Lucene analyzer class to use") .withArgument(new ArgumentBuilder().withName(ANALYZER_NAME_OPTION) .withDefault(StandardAnalyzer.class.getName()).withMinimum(1).withMaximum(1).create()) .withShortName("an"); }
From source file:org.apache.mahout.common.commandline.DefaultOptionCreator.java
/** * Returns a default command line option for specifying the emitMostLikely * flag. Used by Dirichlet and FuzzyKmeans *//*w ww . ja va 2 s .com*/ public static DefaultOptionBuilder emitMostLikelyOption() { return new DefaultOptionBuilder().withLongName(EMIT_MOST_LIKELY_OPTION).withRequired(false) .withShortName("e") .withArgument(new ArgumentBuilder().withName(EMIT_MOST_LIKELY_OPTION).withDefault("true") .withMinimum(1).withMaximum(1).create()) .withDescription("True if clustering should emit the most likely point only, " + "false for threshold clustering. Default is true"); }
From source file:org.apache.mahout.common.commandline.DefaultOptionCreator.java
/** * Returns a default command line option for specifying the clustering * threshold value. Used by Dirichlet and FuzzyKmeans *//* w ww . j a v a2 s . com*/ public static DefaultOptionBuilder thresholdOption() { return new DefaultOptionBuilder().withLongName(THRESHOLD_OPTION).withRequired(false).withShortName("t") .withArgument(new ArgumentBuilder().withName(THRESHOLD_OPTION).withDefault("0").withMinimum(1) .withMaximum(1).create()) .withDescription("The pdf threshold used for cluster determination. Default is 0"); }
From source file:org.apache.mahout.common.commandline.DefaultOptionCreator.java
public static DefaultOptionBuilder kernelProfileOption() { return new DefaultOptionBuilder().withLongName(KERNEL_PROFILE_OPTION).withRequired(false) .withShortName("kp") .withArgument(new ArgumentBuilder().withName(KERNEL_PROFILE_OPTION) .withDefault(TriangularKernelProfile.class.getName()).withMinimum(1).withMaximum(1) .create())//from w w w. java 2s . c om .withDescription("The classname of the IKernelProfile. Default is TriangularKernelProfile"); }
From source file:org.apache.mahout.common.commandline.DefaultOptionCreator.java
/** * Returns a default command line option for specification of OUTLIER THRESHOLD value. Used for * Cluster Classification.// www .j a v a 2s . c o m */ public static DefaultOptionBuilder outlierThresholdOption() { return new DefaultOptionBuilder().withLongName(OUTLIER_THRESHOLD).withRequired(false) .withArgument( new ArgumentBuilder().withName(OUTLIER_THRESHOLD).withMinimum(1).withMaximum(1).create()) .withDescription("Outlier threshold value").withShortName(OUTLIER_THRESHOLD); }
From source file:org.apache.mahout.df.BreimanExample.java
@Override public int run(String[] args) throws IOException { DefaultOptionBuilder obuilder = new DefaultOptionBuilder(); ArgumentBuilder abuilder = new ArgumentBuilder(); GroupBuilder gbuilder = new GroupBuilder(); Option dataOpt = obuilder.withLongName("data").withShortName("d").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Data path").create(); Option datasetOpt = obuilder.withLongName("dataset").withShortName("ds").withRequired(true) .withArgument(abuilder.withName("dataset").withMinimum(1).withMaximum(1).create()) .withDescription("Dataset path").create(); Option nbtreesOpt = obuilder.withLongName("nbtrees").withShortName("t").withRequired(true) .withArgument(abuilder.withName("nbtrees").withMinimum(1).withMaximum(1).create()) .withDescription("Number of trees to grow, each iteration").create(); Option nbItersOpt = obuilder.withLongName("iterations").withShortName("i").withRequired(true) .withArgument(abuilder.withName("numIterations").withMinimum(1).withMaximum(1).create()) .withDescription("Number of times to repeat the test").create(); Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h") .create();//www . ja va 2 s. c o m Group group = gbuilder.withName("Options").withOption(dataOpt).withOption(datasetOpt).withOption(nbItersOpt) .withOption(nbtreesOpt).withOption(helpOpt).create(); Path dataPath; Path datasetPath; int nbTrees; int nbIterations; try { Parser parser = new Parser(); parser.setGroup(group); CommandLine cmdLine = parser.parse(args); if (cmdLine.hasOption("help")) { CommandLineUtil.printHelp(group); return -1; } String dataName = cmdLine.getValue(dataOpt).toString(); String datasetName = cmdLine.getValue(datasetOpt).toString(); nbTrees = Integer.parseInt(cmdLine.getValue(nbtreesOpt).toString()); nbIterations = Integer.parseInt(cmdLine.getValue(nbItersOpt).toString()); dataPath = new Path(dataName); datasetPath = new Path(datasetName); } catch (OptionException e) { log.error("Error while parsing options", e); CommandLineUtil.printHelp(group); return -1; } // load the data FileSystem fs = dataPath.getFileSystem(new Configuration()); Dataset dataset = Dataset.load(getConf(), datasetPath); Data data = DataLoader.loadData(dataset, fs, dataPath); // take m to be the first integer less than log2(M) + 1, where M is the // number of inputs int m = (int) Math.floor(Maths.log(2, data.getDataset().nbAttributes()) + 1); Random rng = RandomUtils.getRandom(); for (int iteration = 0; iteration < nbIterations; iteration++) { log.info("Iteration {}", iteration); runIteration(rng, data, m, nbTrees); } log.info("********************************************"); log.info("Selection error : {}", sumTestErr / nbIterations); log.info("Single Input error : {}", sumOneErr / nbIterations); log.info("One Tree error : {}", sumTreeErr / nbIterations); log.info("Mean Random Input Time : {}", DFUtils.elapsedTime(sumTimeM / nbIterations)); log.info("Mean Single Input Time : {}", DFUtils.elapsedTime(sumTimeOne / nbIterations)); log.info("Mean Random Input Num Nodes : {}", numNodesM / nbIterations); log.info("Mean Single Input Num Nodes : {}", numNodesOne / nbIterations); return 0; }
From source file:org.apache.mahout.df.mapred.BuildForest.java
@Override public int run(String[] args) throws IOException { DefaultOptionBuilder obuilder = new DefaultOptionBuilder(); ArgumentBuilder abuilder = new ArgumentBuilder(); GroupBuilder gbuilder = new GroupBuilder(); Option oobOpt = obuilder.withShortName("oob").withRequired(false) .withDescription("Optional, estimate the out-of-bag error").create(); Option dataOpt = obuilder.withLongName("data").withShortName("d").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Data path").create(); Option datasetOpt = obuilder.withLongName("dataset").withShortName("ds").withRequired(true) .withArgument(abuilder.withName("dataset").withMinimum(1).withMaximum(1).create()) .withDescription("Dataset path").create(); Option selectionOpt = obuilder.withLongName("selection").withShortName("sl").withRequired(true) .withArgument(abuilder.withName("m").withMinimum(1).withMaximum(1).create()) .withDescription("Number of variables to select randomly at each tree-node").create(); Option seedOpt = obuilder.withLongName("seed").withShortName("sd").withRequired(false) .withArgument(abuilder.withName("seed").withMinimum(1).withMaximum(1).create()) .withDescription("Optional, seed value used to initialise the Random number generator").create(); Option partialOpt = obuilder.withLongName("partial").withShortName("p").withRequired(false) .withDescription("Optional, use the Partial Data implementation").create(); Option nbtreesOpt = obuilder.withLongName("nbtrees").withShortName("t").withRequired(true) .withArgument(abuilder.withName("nbtrees").withMinimum(1).withMaximum(1).create()) .withDescription("Number of trees to grow").create(); Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h") .create();/*from www .j a v a2 s. co m*/ Group group = gbuilder.withName("Options").withOption(oobOpt).withOption(dataOpt).withOption(datasetOpt) .withOption(selectionOpt).withOption(seedOpt).withOption(partialOpt).withOption(nbtreesOpt) .withOption(helpOpt).create(); try { Parser parser = new Parser(); parser.setGroup(group); CommandLine cmdLine = parser.parse(args); if (cmdLine.hasOption("help")) { CommandLineUtil.printHelp(group); return -1; } isPartial = cmdLine.hasOption(partialOpt); isOob = cmdLine.hasOption(oobOpt); String dataName = cmdLine.getValue(dataOpt).toString(); String datasetName = cmdLine.getValue(datasetOpt).toString(); m = Integer.parseInt(cmdLine.getValue(selectionOpt).toString()); nbTrees = Integer.parseInt(cmdLine.getValue(nbtreesOpt).toString()); if (cmdLine.hasOption(seedOpt)) { seed = Long.valueOf(cmdLine.getValue(seedOpt).toString()); } log.debug("data : {}", dataName); log.debug("dataset : {}", datasetName); log.debug("m : {}", m); log.debug("seed : {}", seed); log.debug("nbtrees : {}", nbTrees); log.debug("isPartial : {}", isPartial); log.debug("isOob : {}", isOob); dataPath = new Path(dataName); datasetPath = new Path(datasetName); } catch (OptionException e) { log.error("Error while parsing options", e); CommandLineUtil.printHelp(group); return -1; } buildForest(); return 0; }
From source file:org.apache.mahout.df.mapreduce.BuildForest.java
@Override public int run(String[] args) throws IOException, ClassNotFoundException, InterruptedException { DefaultOptionBuilder obuilder = new DefaultOptionBuilder(); ArgumentBuilder abuilder = new ArgumentBuilder(); GroupBuilder gbuilder = new GroupBuilder(); Option oobOpt = obuilder.withShortName("oob").withRequired(false) .withDescription("Optional, estimate the out-of-bag error").create(); Option dataOpt = obuilder.withLongName("data").withShortName("d").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Data path").create(); Option datasetOpt = obuilder.withLongName("dataset").withShortName("ds").withRequired(true) .withArgument(abuilder.withName("dataset").withMinimum(1).withMaximum(1).create()) .withDescription("Dataset path").create(); Option selectionOpt = obuilder.withLongName("selection").withShortName("sl").withRequired(true) .withArgument(abuilder.withName("m").withMinimum(1).withMaximum(1).create()) .withDescription("Number of variables to select randomly at each tree-node").create(); Option seedOpt = obuilder.withLongName("seed").withShortName("sd").withRequired(false) .withArgument(abuilder.withName("seed").withMinimum(1).withMaximum(1).create()) .withDescription("Optional, seed value used to initialise the Random number generator").create(); Option partialOpt = obuilder.withLongName("partial").withShortName("p").withRequired(false) .withDescription("Optional, use the Partial Data implementation").create(); Option nbtreesOpt = obuilder.withLongName("nbtrees").withShortName("t").withRequired(true) .withArgument(abuilder.withName("nbtrees").withMinimum(1).withMaximum(1).create()) .withDescription("Number of trees to grow").create(); Option outputOpt = obuilder.withLongName("output").withShortName("o").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Output path, will contain the Decision Forest").create(); Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h") .create();/*from w ww. j av a 2s. co m*/ Group group = gbuilder.withName("Options").withOption(oobOpt).withOption(dataOpt).withOption(datasetOpt) .withOption(selectionOpt).withOption(seedOpt).withOption(partialOpt).withOption(nbtreesOpt) .withOption(outputOpt).withOption(helpOpt).create(); try { Parser parser = new Parser(); parser.setGroup(group); CommandLine cmdLine = parser.parse(args); if (cmdLine.hasOption("help")) { CommandLineUtil.printHelp(group); return -1; } isPartial = cmdLine.hasOption(partialOpt); isOob = cmdLine.hasOption(oobOpt); String dataName = cmdLine.getValue(dataOpt).toString(); String datasetName = cmdLine.getValue(datasetOpt).toString(); String outputName = cmdLine.getValue(outputOpt).toString(); m = Integer.parseInt(cmdLine.getValue(selectionOpt).toString()); nbTrees = Integer.parseInt(cmdLine.getValue(nbtreesOpt).toString()); if (cmdLine.hasOption(seedOpt)) { seed = Long.valueOf(cmdLine.getValue(seedOpt).toString()); } log.debug("data : {}", dataName); log.debug("dataset : {}", datasetName); log.debug("output : {}", outputName); log.debug("m : {}", m); log.debug("seed : {}", seed); log.debug("nbtrees : {}", nbTrees); log.debug("isPartial : {}", isPartial); log.debug("isOob : {}", isOob); dataPath = new Path(dataName); datasetPath = new Path(datasetName); outputPath = new Path(outputName); } catch (OptionException e) { log.error("Exception", e); CommandLineUtil.printHelp(group); return -1; } buildForest(); return 0; }
From source file:org.apache.mahout.df.mapreduce.TestForest.java
@Override public int run(String[] args) throws IOException, ClassNotFoundException, InterruptedException { DefaultOptionBuilder obuilder = new DefaultOptionBuilder(); ArgumentBuilder abuilder = new ArgumentBuilder(); GroupBuilder gbuilder = new GroupBuilder(); Option inputOpt = obuilder.withLongName("input").withShortName("i").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Test data path").create(); Option datasetOpt = obuilder.withLongName("dataset").withShortName("ds").withRequired(true) .withArgument(abuilder.withName("dataset").withMinimum(1).withMaximum(1).create()) .withDescription("Dataset path").create(); Option modelOpt = obuilder.withLongName("model").withShortName("m").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Path to the Decision Forest").create(); Option outputOpt = obuilder.withLongName("output").withShortName("o").withRequired(false) .withArgument(abuilder.withName("output").withMinimum(1).withMaximum(1).create()) .withDescription("Path to generated predictions file").create(); Option analyzeOpt = obuilder.withLongName("analyze").withShortName("a").withRequired(false).create(); Option mrOpt = obuilder.withLongName("mapreduce").withShortName("mr").withRequired(false).create(); Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h") .create();//w w w . j a v a 2 s .c o m Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(datasetOpt).withOption(modelOpt) .withOption(outputOpt).withOption(analyzeOpt).withOption(mrOpt).withOption(helpOpt).create(); try { Parser parser = new Parser(); parser.setGroup(group); CommandLine cmdLine = parser.parse(args); if (cmdLine.hasOption("help")) { CommandLineUtil.printHelp(group); return -1; } String dataName = cmdLine.getValue(inputOpt).toString(); String datasetName = cmdLine.getValue(datasetOpt).toString(); String modelName = cmdLine.getValue(modelOpt).toString(); String outputName = (cmdLine.hasOption(outputOpt)) ? cmdLine.getValue(outputOpt).toString() : null; analyze = cmdLine.hasOption(analyzeOpt); useMapreduce = cmdLine.hasOption(mrOpt); log.debug("inout : {}", dataName); log.debug("dataset : {}", datasetName); log.debug("model : {}", modelName); log.debug("output : {}", outputName); log.debug("analyze : {}", analyze); log.debug("mapreduce : {}", useMapreduce); dataPath = new Path(dataName); datasetPath = new Path(datasetName); modelPath = new Path(modelName); if (outputName != null) { outputPath = new Path(outputName); } } catch (OptionException e) { System.err.println("Exception : " + e); CommandLineUtil.printHelp(group); return -1; } testForest(); return 0; }
From source file:org.apache.mahout.df.tools.Describe.java
public static void main(String[] args) throws IOException, DescriptorException { DefaultOptionBuilder obuilder = new DefaultOptionBuilder(); ArgumentBuilder abuilder = new ArgumentBuilder(); GroupBuilder gbuilder = new GroupBuilder(); Option pathOpt = obuilder.withLongName("path").withShortName("p").withRequired(true) .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create()) .withDescription("Data path").create(); Option descriptorOpt = obuilder.withLongName("descriptor").withShortName("d").withRequired(true) .withArgument(abuilder.withName("descriptor").withMinimum(1).create()) .withDescription("data descriptor").create(); Option descPathOpt = obuilder.withLongName("file").withShortName("f").withRequired(true) .withArgument(abuilder.withName("file").withMinimum(1).withMaximum(1).create()) .withDescription("Path to generated descriptor file").create(); Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h") .create();/*from www.j ava2s .c om*/ Group group = gbuilder.withName("Options").withOption(pathOpt).withOption(descPathOpt) .withOption(descriptorOpt).withOption(helpOpt).create(); try { Parser parser = new Parser(); parser.setGroup(group); CommandLine cmdLine = parser.parse(args); if (cmdLine.hasOption(helpOpt)) { CommandLineUtil.printHelp(group); return; } String dataPath = cmdLine.getValue(pathOpt).toString(); String descPath = cmdLine.getValue(descPathOpt).toString(); List<String> descriptor = convert(cmdLine.getValues(descriptorOpt)); log.debug("Data path : {}", dataPath); log.debug("Descriptor path : {}", descPath); log.debug("Descriptor : {}", descriptor); runTool(dataPath, descriptor, descPath); } catch (OptionException e) { log.warn(e.toString()); CommandLineUtil.printHelp(group); } }