Package com.google.gxp.compiler.cli

Examples of com.google.gxp.compiler.cli.GxpcFlags$CommandLine

123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
   
    Parser parser = new Parser();
    parser.setGroup(group);
   
    try {
      CommandLine cmdLine = parser.parse(args);
     
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      String dataset = cmdLine.getValue(inputOpt).toString();
      int target = Integer.parseInt(cmdLine.getValue(labelOpt).toString());
      double threshold = !cmdLine.hasOption(thresholdOpt) ? 0.5 : Double.parseDouble(cmdLine.getValue(
        thresholdOpt).toString());
      int crosspnts = !cmdLine.hasOption(crosspntsOpt) ? 1 : Integer.parseInt(cmdLine.getValue(crosspntsOpt)
          .toString());
      double mutrate = Double.parseDouble(cmdLine.getValue(mutrateOpt).toString());
      double mutrange = !cmdLine.hasOption(mutrangeOpt) ? 0.1 : Double.parseDouble(cmdLine.getValue(
        mutrangeOpt).toString());
      int mutprec = !cmdLine.hasOption(mutprecOpt) ? 2 : Integer.parseInt(cmdLine.getValue(mutprecOpt)
          .toString());
      int popSize = Integer.parseInt(cmdLine.getValue(popsizeOpt).toString());
      int genCount = Integer.parseInt(cmdLine.getValue(gencntOpt).toString());
     
      long start = System.currentTimeMillis();
     
      runJob(dataset, target, threshold, crosspnts, mutrate, mutrange, mutprec, popSize, genCount);
     
View Full Code Here
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
        .withOption(maxLabelsOpt).withOption(minClusterSizeOpt).create();
   
    try {
      Parser parser = new Parser();
      parser.setGroup(group);
      CommandLine cmdLine = parser.parse(args);
     
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      String seqFileDir = cmdLine.getValue(seqOpt).toString();
      String pointsDir = cmdLine.getValue(pointsOpt).toString();
      String indexDir = cmdLine.getValue(indexOpt).toString();
      String contentField = cmdLine.getValue(fieldOpt).toString();
     
      String idField = null;
     
      if (cmdLine.hasOption(idFieldOpt)) {
        idField = cmdLine.getValue(idFieldOpt).toString();
      }
      String output = null;
      if (cmdLine.hasOption(outputOpt)) {
        output = cmdLine.getValue(outputOpt).toString();
      }
      int maxLabels = DEFAULT_MAX_LABELS;
      if (cmdLine.hasOption(maxLabelsOpt)) {
        maxLabels = Integer.parseInt(cmdLine.getValue(maxLabelsOpt).toString());
      }
      int minSize = DEFAULT_MIN_IDS;
      if (cmdLine.hasOption(minClusterSizeOpt)) {
        minSize = Integer.parseInt(cmdLine.getValue(minClusterSizeOpt).toString());
      }
      ClusterLabels clusterLabel = new ClusterLabels(seqFileDir, pointsDir, indexDir, contentField, minSize,
          maxLabels);
     
      if (idField != null) {
View Full Code Here
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
        .create();
   
    Parser parser = new Parser();
    parser.setGroup(group);
    try {
      CommandLine cmdLine = parser.parse(args);
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      String inputPath = (String) cmdLine.getValue(dirInputPathOpt);
      String outputPath = (String) cmdLine.getValue(dirOutputPathOpt);
      String catFile = (String) cmdLine.getValue(categoriesOpt);
      Class<? extends Analyzer> analyzerClass = WikipediaAnalyzer.class;
      if (cmdLine.hasOption(analyzerOpt)) {
        String className = cmdLine.getValue(analyzerOpt).toString();
        analyzerClass = (Class<? extends Analyzer>) Class.forName(className);
        // try instantiating it, b/c there isn't any point in setting it if
        // you can't instantiate it
        analyzerClass.newInstance();
      }
      runJob(inputPath, outputPath, catFile, cmdLine.hasOption(exactMatchOpt),
        analyzerClass);
    } catch (OptionException e) {
      log.error("Exception", e);
      CommandLineUtil.printHelp(group);
    } catch (ClassNotFoundException e) {
View Full Code Here
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
        .withOption(helpOpt).withOption(dictOutOpt).withOption(outWriterOpt).withOption(delimiterOpt)
        .create();
    try {
      Parser parser = new Parser();
      parser.setGroup(group);
      CommandLine cmdLine = parser.parse(args);
     
      if (cmdLine.hasOption(helpOpt)) {
       
        CommandLineUtil.printHelp(group);
        return;
      }
      if (cmdLine.hasOption(inputOpt)) { // Lucene case
        File input = new File(cmdLine.getValue(inputOpt).toString());
        long maxDocs = Long.MAX_VALUE;
        if (cmdLine.hasOption(maxOpt)) {
          maxDocs = Long.parseLong(cmdLine.getValue(maxOpt).toString());
        }
        if (maxDocs < 0) {
          throw new IllegalArgumentException("maxDocs must be >= 0");
        }
        String outDir = cmdLine.getValue(outputOpt).toString();
        log.info("Output Dir: {}", outDir);
        String outWriter = null;
        if (cmdLine.hasOption(outWriterOpt)) {
          outWriter = cmdLine.getValue(outWriterOpt).toString();
        }
        String delimiter = cmdLine.hasOption(delimiterOpt) ? cmdLine.getValue(delimiterOpt).toString() : "\t";
        File dictOut = new File(cmdLine.getValue(dictOutOpt).toString());
        ARFFModel model = new MapBackedARFFModel();
        if (input.exists() && input.isDirectory()) {
          File[] files = input.listFiles(new FilenameFilter() {
            @Override
            public boolean accept(File file, String name) {
View Full Code Here
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
        .create();
   
    Parser parser = new Parser();
    parser.setGroup(group);
    try {
      CommandLine cmdLine = parser.parse(args);
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      String inputPath = (String) cmdLine.getValue(dirInputPathOpt);
      String outputPath = (String) cmdLine.getValue(dirOutputPathOpt);
     
      String catFile = "";
      if (cmdLine.hasOption(categoriesOpt)) {
        catFile = (String) cmdLine.getValue(categoriesOpt);
      }
     
      boolean all = false;
      if (cmdLine.hasOption(allOpt)) {
        all = true;
      }
      runJob(inputPath, outputPath, catFile, cmdLine.hasOption(exactMatchOpt), all);
    } catch (OptionException e) {
      log.error("Exception", e);
      CommandLineUtil.printHelp(group);
    }
  }
View Full Code Here
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
        .withOption(dictTypeOpt).withOption(numWordsOpt).create();

    try {
      Parser parser = new Parser();
      parser.setGroup(group);
      CommandLine cmdLine = parser.parse(args);
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
      if (!cmdLine.hasOption(seqOpt)) {
        return;
      }
      String seqFileDir = cmdLine.getValue(seqOpt).toString();
      String termDictionary = null;
      if (cmdLine.hasOption(dictOpt)) {
        termDictionary = cmdLine.getValue(dictOpt).toString();
      }

      String pointsDir = null;
      if (cmdLine.hasOption(pointsOpt)) {
        pointsDir = cmdLine.getValue(pointsOpt).toString();
      }
      String outputFile = null;
      if (cmdLine.hasOption(outputOpt)) {
        outputFile = cmdLine.getValue(outputOpt).toString();
      }

      int sub = -1;
      if (cmdLine.hasOption(substringOpt)) {
        sub = Integer.parseInt(cmdLine.getValue(substringOpt).toString());
      }

      ClusterDumper clusterDumper = new ClusterDumper(seqFileDir, pointsDir);
      if (cmdLine.hasOption(centroidJSonOpt)) {
        clusterDumper.setUseJSON(true);
      }

      if (outputFile != null) {
        clusterDumper.setOutputFile(outputFile);
      }

      String dictionaryType = "text";
      if (cmdLine.hasOption(dictTypeOpt)) {
        dictionaryType = cmdLine.getValue(dictTypeOpt).toString();
      }

      if (termDictionary != null) {
        clusterDumper.setTermDictionary(termDictionary, dictionaryType);
      }

      if (cmdLine.hasOption(numWordsOpt)) {
        int numWords = Integer.parseInt(cmdLine.getValue(numWordsOpt).toString());
        clusterDumper.setNumTopFeatures(numWords);
      }

      if (sub >= 0) {
        clusterDumper.setSubString(sub);
View Full Code Here
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
    Group group = gbuilder.withName("Options").withOption(dictOpt).withOption(outOpt).withOption(wordOpt)
        .withOption(inputOpt).withOption(dictTypeOpt).create();
    try {
      Parser parser = new Parser();
      parser.setGroup(group);
      CommandLine cmdLine = parser.parse(args);
     
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
     
      String input = cmdLine.getValue(inputOpt).toString();
      String dictFile = cmdLine.getValue(dictOpt).toString();
      int numWords = 20;
      if (cmdLine.hasOption(wordOpt)) {
        numWords = Integer.parseInt(cmdLine.getValue(wordOpt).toString());
      }
      Configuration config = new Configuration();
     
      String dictionaryType = "text";
      if (cmdLine.hasOption(dictTypeOpt)) {
        dictionaryType = cmdLine.getValue(dictTypeOpt).toString();
      }
     
      List<String> wordList;
      if (dictionaryType.equals("text")) {
        wordList = Arrays.asList(VectorHelper.loadTermDictionary(new File(dictFile)));
      } else if (dictionaryType.equals("sequencefile")) {
        FileSystem fs = FileSystem.get(new Path(dictFile).toUri(), config);
        wordList = Arrays.asList(VectorHelper.loadTermDictionary(config, fs, dictFile));
      } else {
        throw new IllegalArgumentException("Invalid dictionary format");
      }
     
      List<List<String>> topWords = topWordsForTopics(input, config, wordList, numWords);
     
      if (cmdLine.hasOption(outOpt)) {
        File output = new File(cmdLine.getValue(outOpt).toString());
        if (!output.exists()) {
          if (!output.mkdirs()) {
            throw new IOException("Could not create directory: " + output);
          }
        }
View Full Code Here
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
          mOpt).withOption(topicsOpt).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 input = cmdLine.getValue(inputOpt).toString();
      String output = cmdLine.getValue(outputOpt).toString();
      String modelFactory = "org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution";
      if (cmdLine.hasOption(modelOpt)) modelFactory = cmdLine.getValue(modelOpt).toString();
      String modelPrototype = "org.apache.mahout.math.RandomAccessSparseVector";
      if (cmdLine.hasOption(prototypeOpt)) modelPrototype = cmdLine.getValue(prototypeOpt).toString();
      int prototypeSize = Integer.parseInt(cmdLine.getValue(sizeOpt).toString());
      int numModels = Integer.parseInt(cmdLine.getValue(topicsOpt).toString());
      int maxIterations = Integer.parseInt(cmdLine.getValue(maxIterOpt).toString());
      double alpha_0 = Double.parseDouble(cmdLine.getValue(mOpt).toString());
      runJob(input, output, modelFactory, modelPrototype, prototypeSize, numModels, maxIterations, alpha_0);
    } catch (OptionException e) {
      log.error("Exception parsing command line: ", e);
      CommandLineUtil.printHelp(group);
    }
View Full Code Here
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
          helpOpt).create();
   
    try {
      Parser parser = new Parser();
      parser.setGroup(group);
      CommandLine cmdLine = parser.parse(args);
      if (cmdLine.hasOption(helpOpt)) {
        CommandLineUtil.printHelp(group);
        return;
      }
      String input = cmdLine.getValue(inputOpt).toString();
      String clusters = cmdLine.getValue(clustersOpt).toString();
      String output = cmdLine.getValue(outputOpt).toString();
      String measureClass = SquaredEuclideanDistanceMeasure.class.getName();
      if (cmdLine.hasOption(measureClassOpt)) {
        measureClass = cmdLine.getValue(measureClassOpt).toString();
      }
      double convergenceDelta = 0.5;
      if (cmdLine.hasOption(convergenceDeltaOpt)) {
        convergenceDelta = Double.parseDouble(cmdLine.getValue(convergenceDeltaOpt).toString());
      }
      float m = Float.parseFloat(cmdLine.getValue(mOpt).toString());
     
      // Class<? extends Vector> vectorClass = cmdLine.hasOption(vectorClassOpt) == false ?
      // RandomAccessSparseVector.class
      // : (Class<? extends Vector>) Class.forName(cmdLine.getValue(vectorClassOpt).toString());
     
      int numReduceTasks = 10;
      if (cmdLine.hasOption(numReduceTasksOpt)) {
        numReduceTasks = Integer.parseInt(cmdLine.getValue(numReduceTasksOpt).toString());
      }
     
      int numMapTasks = 50;
      if (cmdLine.hasOption(numMapTasksOpt)) {
        numMapTasks = Integer.parseInt(cmdLine.getValue(numMapTasksOpt).toString());
      }
     
      int maxIterations = 20;
      if (cmdLine.hasOption(maxIterationsOpt)) {
        maxIterations = Integer.parseInt(cmdLine.getValue(maxIterationsOpt).toString());
      }
     
      if (cmdLine.hasOption(overwriteOutput)) {
        HadoopUtil.overwriteOutput(output);
      }
     
      if (cmdLine.hasOption(kOpt)) {
        clusters = RandomSeedGenerator.buildRandom(input, clusters,
          Integer.parseInt(cmdLine.getValue(kOpt).toString())).toString();
      }
     
      if (cmdLine.hasOption(clusteringOpt)) {
        runClustering(input, clusters, output, measureClass, convergenceDelta, numMapTasks,
          m);
      } else {
        runJob(input, clusters, output, measureClass, convergenceDelta, maxIterations,
          numMapTasks, numReduceTasks, m);
View Full Code Here
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
          vectorClassOpt).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 input = cmdLine.getValue(inputOpt).toString();
      String clusters = cmdLine.getValue(clustersOpt).toString();
      String output = cmdLine.getValue(outputOpt).toString();
      String measureClass = cmdLine.getValue(measureClassOpt).toString();
      double convergenceDelta = Double.parseDouble(cmdLine.getValue(convergenceDeltaOpt).toString());
      int maxIterations = Integer.parseInt(cmdLine.getValue(maxIterOpt).toString());
      int numMapTasks = Integer.parseInt(cmdLine.getValue(numMapOpt).toString());
      int numReduceTasks = Integer.parseInt(cmdLine.getValue(numRedOpt).toString());
      boolean doCanopy = Boolean.parseBoolean(cmdLine.getValue(doCanopyOpt).toString());
      float m = Float.parseFloat(cmdLine.getValue(mOpt).toString());
      // String vectorClassName = cmdLine.getValue(vectorClassOpt).toString();
      // Class<? extends Vector> vectorClass = (Class<? extends Vector>) Class.forName(vectorClassName);
      runJob(input, clusters, output, measureClass, convergenceDelta, maxIterations,
        numMapTasks, numReduceTasks, doCanopy, m);
    } catch (OptionException e) {
View Full Code Here
TOP

Related Classes of com.google.gxp.compiler.cli.GxpcFlags$CommandLine

  • com.digitalpebble.behemoth.mahout.SparseVectorsFromBehemoth
  • com.digitalpebble.behemoth.tika.TikaDriver
  • org.apache.commons.cli2.commandline.DefaultingCommandLine
  • org.apache.commons.cli2.commandline.Parser
  • org.apache.hadoop.mapred.pipes.Submitter
  • org.apache.hadoop.streaming.StreamJob
  • org.apache.jackrabbit.vault.util.console.AbstractApplication
  • org.apache.jackrabbit.vault.util.console.ExecutionContext
  • org.apache.jackrabbit.vault.util.console.Test
  • org.apache.mahout.benchmark.VectorBenchmarks
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.