List of addFullyConnectedStates() Examples

Examples of addFullyConnectedStates()

cc.mallet.fst.CRF.addFullyConnectedStates()
Add a group of states that are fully connected with each other, with parameters equal zero, and labels on their out-going arcs the same name as their destination state names.
cc.mallet.fst.MEMM.addFullyConnectedStates()

Examples of cc.mallet.fst.CRF.addFullyConnectedStates()

    Alphabet outputAlphabet = new Alphabet();
    CRF crf = new CRF(inputAlphabet, outputAlphabet);
    String[] stateNames = new String[numStates];
    for (int i = 0; i < numStates; i++)
      stateNames[i] = "state" + i;
    crf.addFullyConnectedStates(stateNames);
    CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood(crf);
    Optimizable.ByGradientValue mcrf = crft
        .getOptimizableCRF(new InstanceList(null));
    TestOptimizable.testGetSetParameters(mcrf);
  }

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Examples of cc.mallet.fst.CRF.addFullyConnectedStates()

    CRF crf = new CRF(inputAlphabet, outputAlphabet);


    String[] stateNames = new String[numStates];
    for (int i = 0; i < numStates; i++)
      stateNames[i] = "state" + i;
    crf.addFullyConnectedStates(stateNames);


    crf.setWeightsDimensionDensely();
    crf.getState(0).setInitialWeight(1.0);
    crf.getState(1).setInitialWeight(Transducer.IMPOSSIBLE_WEIGHT);
    crf.getState(0).setFinalWeight(0.0);

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Examples of cc.mallet.fst.CRF.addFullyConnectedStates()

    CRF crf = new CRF(inputAlphabet, outputAlphabet);


    String[] stateNames = new String[numStates];
    for (int i = 0; i < numStates; i++)
      stateNames[i] = "state" + i;
    crf.addFullyConnectedStates(stateNames);


    crf.setWeightsDimensionDensely();
    crf.getState(0).setInitialWeight(1.0);
    crf.getState(1).setInitialWeight(Transducer.IMPOSSIBLE_WEIGHT);
    crf.getState(0).setFinalWeight(0.0);

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Examples of cc.mallet.fst.MEMM.addFullyConnectedStates()

    Alphabet outputAlphabet = new Alphabet();
    MEMM memm = new MEMM (inputAlphabet, outputAlphabet);
    String[] stateNames = new String[numStates];
    for (int i = 0; i < numStates; i++)
      stateNames[i] = "state" + i;
    memm.addFullyConnectedStates(stateNames);
    MEMMTrainer memmt = new MEMMTrainer (memm);
    MEMMTrainer.MEMMOptimizableByLabelLikelihood omemm = memmt.getOptimizableMEMM (new InstanceList(null));
    TestOptimizable.testGetSetParameters(omemm);
  }

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