Package cc.mallet.pipe

Examples of cc.mallet.pipe.SerialPipes$Predicate

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  }


  public static  Pipe makeSpacePredictionPipe ()
  {
    Pipe p = new SerialPipes(new Pipe[]{
      new CharSequence2TokenSequence("."),
      new TokenSequenceLowercase(),
      new TestMEMMTokenSequenceRemoveSpaces(),
      new TokenText(),
      new OffsetConjunctions(true,
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    doTestSpacePrediction(false, true, false);
  }

  public void disabledtestPrint ()
  {
    Pipe p = new SerialPipes (new Pipe[] {
       new CharSequence2TokenSequence("."),
       new TokenText(),
       new TestMEMM.TestMEMMTokenSequenceRemoveSpaces(),
       new TokenSequence2FeatureVectorSequence(),
       new PrintInputAndTarget(),
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    Pipe p1 = new StupidPipe ();
    Pipe p2 = new SimpleTaggerSentence2TokenSequence ();
    // initialize p2's dict
    p2.instanceFrom(new Instance (data, null, null, null));

    Pipe serial = new SerialPipes (new Pipe[] { p1, p2 });
    try {
      serial.getDataAlphabet ();
      assertTrue ("Test failed: Should have generated exception.", false);
    } catch (IllegalStateException e) {}
  }
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  {
    File trainFile = new File (args[0]);
    File testFile = new File (args[1]);
    File crfFile = new File (args[2]);

    Pipe pipe = new SerialPipes (new Pipe[] {
        new GenericAcrfData2TokenSequence (2),
        new TokenSequence2FeatureVectorSequence (true, true),
    });

    InstanceList training = new InstanceList (pipe);
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    //pipeList.add(new TokenSequenceNGrams(new int[] {2} ));
       
    //convert to feature
    pipeList.add( new TokenSequence2FeatureSequence() );

    InstanceList instances = new InstanceList (new SerialPipes(pipeList));
    InstanceList testInstances = new InstanceList (instances.getPipe());
       
    Reader insfileReader = new InputStreamReader(new FileInputStream(new File(inputFileName)), "UTF-8");
    Reader testfileReader = new InputStreamReader(new FileInputStream(new File(testFileName)), "UTF-8");
       
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    Pipe instancePipe;

    // Build a new pipe
    ArrayList<Pipe> pipeList = new ArrayList<Pipe>();
    pipeList.add(new SvmLight2FeatureVectorAndLabel());
    instancePipe = new SerialPipes(pipeList);

    InstanceList instances = new InstanceList(instancePipe);
    Reader fileReader;
    if (inputFile.equals("-")) {
      fileReader = new InputStreamReader(System.in);
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        pipeList.add(new CharSequence2TokenSequence(tokenPattern));
        pipeList.add(new TokenSequenceRemoveStopwords(false, false)); // we should use a real stop word list
        pipeList.add(new TokenSequenceNGramsDelim(sizes, " "));
        pipeList.add(new TokenSequence2FeatureSequence());
        return new SerialPipes(pipeList);
    }
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        //NOTE: Commented out because LDA wanted a FeatureSequence

        // Print out the features and the label
        pipeList.add(new PrintInputAndTarget());

        return new SerialPipes(pipeList);
    }                  
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        //NOTE: Commented out because LDA wanted a FeatureSequence

        // Print out the features and the label
        pipeList.add(new PrintInputAndTarget());

        return new SerialPipes(pipeList);
    }                  
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        vv.getRenderContext().setVertexShapeTransformer(new ClusterVertexShapeFunction());
       
        final PredicatedParallelEdgeIndexFunction eif = PredicatedParallelEdgeIndexFunction.getInstance();
        final Set exclusions = new HashSet();
        eif.setPredicate(new Predicate() {

      public boolean evaluate(Object e) {
       
        return exclusions.contains(e);
      }});
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Related Classes of cc.mallet.pipe.SerialPipes$Predicate

  • cc.mallet.classify.tui.SvmLight2Classify
  • cc.mallet.extract.CRFExtractor
  • cc.mallet.extract.test.TestLatticeViewer
  • cc.mallet.fst.tests.TestCRF
  • cc.mallet.fst.tests.TestMEMM
  • cc.mallet.grmm.examples.SimpleCrfExample
  • cc.mallet.pipe.iterator.EmptyInstanceIterator
  • cc.mallet.pipe.Pipe
  • cc.mallet.pipe.PipeUtils
  • cc.mallet.pipe.tests.TestPipeUtils
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