Package org.apache.commons.cli2.builder

Examples of org.apache.commons.cli2.builder.PatternBuilder

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    Option cutoffOpt = obuilder.withLongName("cutoff").withRequired(false).withArgument(
        abuilder.withName("cutoff").withMinimum(1).withMaximum(1).create()).withDescription(
        "Drop tags with a count less than this number").withShortName("c").create();
   
    Group group = gbuilder.withName("Options").withOption(inputFileOpt)
      .withOption(outputFileOpt).withOption(limitOpt)
      .withOption(cutoffOpt).create();

   
    try {
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    Option helpOpt = obuilder.withLongName("help")
    .withDescription("Print out help")
    .withShortName("h").create();
   
    Group group = gbuilder.withName("Options")
    .withOption(inputOpt)
    .withOption(modelOpt)
    .withOption(helpOpt)
    .create();
   
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    Option solrBatchOpt = obuilder.withLongName("batch").withRequired(false).withArgument(
            abuilder.withName("batch").withMinimum(1).withMaximum(1).create()).
            withDescription("The number of docs to include in each indexing batch").withShortName("b").create();

    Group group = gbuilder.withName("Options").withOption(wikipediaFileOpt).withOption(numDocsOpt).withOption(solrURLOpt).withOption(solrBatchOpt).create();

    Parser parser = new Parser();
    parser.setGroup(group);
    CommandLine cmdLine = parser.parse(args);
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    Option typeOpt = obuilder.withLongName("classifierType").withRequired(false).withArgument(
      abuilder.withName("classifierType").withMinimum(1).withMaximum(1).create()).withDescription(
      "Type of classifier: knn|tfidf. Default: bayes").withShortName("type").create();
   
    Group group = gbuilder.withName("Options").withOption(gramSizeOpt).withOption(helpOpt).withOption(
        inputDirOpt).withOption(modelOpt).withOption(typeOpt).withOption(contentFieldOpt)
        .withOption(categoryFieldOpt).withOption(maxResultsOpt)
        .create();
   
    try {
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    Option helpOpt = obuilder.withLongName("help")
      .withDescription("Print out help")
      .withShortName("h").create();
   
    Group group = gbuilder.withName("Options")
      .withOption(inputOpt)
      .withOption(outputOpt)
      .withOption(maxOpt)
      .withOption(fieldOpt)
      .create();
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    Option charsetOpt = obuilder.withLongName("charset").withRequired(true).withArgument(
        abuilder.withName("charset").withMinimum(1).withMaximum(1).create()).withDescription(
        "The name of the character encoding of the input files").withShortName("c").create();
   
    Group group = gbuilder.withName("Options").withOption(inputDirOpt).withOption(trainingOutputDirOpt)
         .withOption(testOutputDirOpt).withOption(testSplitSizeOpt).withOption(testSplitPctOpt)
         .withOption(splitLocationOpt).withOption(randomSelectionSizeOpt).withOption(randomSelectionPctOpt)
         .withOption(charsetOpt).create();
   
    try {
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        .withShortName("b").create();
   
    Option helpOpt = obuilder.withLongName("help").withDescription(
        "Print out help").withShortName("h").create();
   
    Group group = gbuilder.withName("Options").withOption(wikipediaFileOpt)
        .withOption(numDocsOpt).withOption(solrURLOpt).withOption(solrBatchOpt)
        .withOption(helpOpt).create();
   
    Parser parser = new Parser();
    parser.setGroup(group);
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    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option inputDirOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "The input directory, containing properly formatted files: "
          + "One doc per line, first entry on the line is the label, rest is the evidence")
        .withShortName("i").create();
   
    Option outputOpt = obuilder.withLongName("output").withRequired(true).withArgument(
      abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription(
      "The output directory").withShortName("o").create();
   
   
    Group group = gbuilder.withName("Options").withOption(helpOpt).withOption(
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  public static void main(String[] args) throws IOException {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option inputDirOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "The input directory")
        .withShortName("i").create();
   
    Option modelOpt = obuilder.withLongName("model").withRequired(true).withArgument(
      abuilder.withName("index").withMinimum(1).withMaximum(1).create()).withDescription(
      "The directory containing the index model").withShortName("m").create();

    Group group = gbuilder.withName("Options").withOption(helpOpt)
        .withOption(inputDirOpt).withOption(modelOpt).create();
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  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option inputDirOpt = obuilder.withLongName("input").withRequired(true).withArgument(
      abuilder.withName("input").withMinimum(1).withMaximum(1).create()).withDescription(
      "The input directory")
        .withShortName("i").create();
   
    Option modelOpt = obuilder.withLongName("model").withRequired(true).withArgument(
      abuilder.withName("index").withMinimum(1).withMaximum(1).create()).withDescription(
      "The directory containing the index model").withShortName("m").create();
   
    Option categoryFieldOpt = obuilder.withLongName("categoryField").withRequired(true).withArgument(
        abuilder.withName("index").withMinimum(1).withMaximum(1).create()).withDescription(
        "Name of the field containing category information").withShortName("catf").create();

    Option contentFieldOpt = obuilder.withLongName("contentField").withRequired(true).withArgument(
        abuilder.withName("index").withMinimum(1).withMaximum(1).create()).withDescription(
        "Name of the field containing content information").withShortName("contf").create();
   
    Option maxResultsOpt = obuilder.withLongName("maxResults").withRequired(false).withArgument(
        abuilder.withName("gramSize").withMinimum(1).withMaximum(1).create()).withDescription(
        "Number of results to retrive, default: 10 ").withShortName("r").create();
   
    Option gramSizeOpt = obuilder.withLongName("gramSize").withRequired(false).withArgument(
      abuilder.withName("gramSize").withMinimum(1).withMaximum(1).create()).withDescription(
      "Size of the n-gram. Default Value: 1 ").withShortName("ng").create();
   
    Option typeOpt = obuilder.withLongName("classifierType").withRequired(false).withArgument(
      abuilder.withName("classifierType").withMinimum(1).withMaximum(1).create()).withDescription(
      "Type of classifier: knn|tfidf. Default: bayes").withShortName("type").create();
   
    Group group = gbuilder.withName("Options").withOption(gramSizeOpt).withOption(helpOpt).withOption(
        inputDirOpt).withOption(modelOpt).withOption(typeOpt).withOption(contentFieldOpt)
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Related Classes of org.apache.commons.cli2.builder.PatternBuilder

  • com.digitalpebble.behemoth.mahout.SparseVectorsFromBehemoth
  • com.digitalpebble.behemoth.tika.TikaDriver
  • com.tamingtext.classifier.bayes.ClassifyDocument
  • com.tamingtext.classifier.bayes.ExtractTrainingData
  • com.tamingtext.classifier.maxent.TestMaxent
  • com.tamingtext.classifier.maxent.TrainMaxent
  • com.tamingtext.classifier.mlt.MoreLikeThisCategorizer
  • com.tamingtext.classifier.mlt.TestMoreLikeThis
  • com.tamingtext.classifier.mlt.TrainMoreLikeThis
  • com.tamingtext.qa.WikipediaIndexer
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