Package cc.mallet.extract

Examples of cc.mallet.extract.Extraction

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    if (testing != null) {
      eval.test (extor.getAcrf (), testing, "Final results");
    }

    if ((extractionEval != null) && (testing != null)) {
      Extraction extraction = extor.extract (testing);
      extractionEval.evaluate (extraction);
      timing.tick ("Evaluting");
    }

    System.out.println ("Total time (ms) = " + timing.elapsedTime ());
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     crf.addFullyConnectedStatesForLabels ();
     CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
     crft.trainIncremental (training);

     CRFExtractor extor = TestLatticeViewer.hackCrfExtor (crf);
     Extraction extraction = extor.extract (new ArrayIterator (data1));

     if (!outputDir.exists ()) outputDir.mkdir ();
     DocumentViewer.writeExtraction (outputDir, extraction);
   }
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    crf.addFullyConnectedStatesForLabels ();
    CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
    crft.trainIncremental (training);

    CRFExtractor extor = hackCrfExtor (crf);
    Extraction extration = extor.extract (new ArrayIterator (data1));

    PrintStream out = new PrintStream (new FileOutputStream (htmlFile));
    LatticeViewer.extraction2html (extration, extor, out);
    out.close();
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      crft.train (training, 1);
      eval.evaluate(crft);
    }

    CRFExtractor extor = hackCrfExtor (crf);
    Extraction e1 = extor.extract (new ArrayIterator (data1));

    Pipe pipe2 = TestMEMM.makeSpacePredictionPipe ();
    InstanceList training2 = new InstanceList (pipe2);
    training2.addThruPipe (new ArrayIterator (data0));
    InstanceList testing2 = new InstanceList (pipe2);
    testing2.addThruPipe (new ArrayIterator (data1));

    MEMM memm = new MEMM (pipe2, null);
    memm.addFullyConnectedStatesForLabels ();
    MEMMTrainer memmt = new MEMMTrainer (memm);
    TransducerEvaluator memmeval = new TokenAccuracyEvaluator (new InstanceList[] {training2, testing2}, new String[] {"Training2", "Testing2"});
    memmt.train (training2, 5);
    memmeval.evaluate(memmt);

    CRFExtractor extor2 = hackCrfExtor (memm);
    Extraction e2 = extor2.extract (new ArrayIterator (data1));

    if (!htmlDir.exists ()) htmlDir.mkdir ();
    LatticeViewer.viewDualResults (htmlDir, e1, extor, e2, extor2);

  }
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Related Classes of cc.mallet.extract.Extraction

  • cc.mallet.extract.test.TestDocumentViewer
  • cc.mallet.extract.test.TestLatticeViewer
  • cc.mallet.grmm.learning.extract.AcrfExtractorTui
  • java.util.Iterator
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