Examples of BaumWelchLearner

    List<List<O>> seqs = relatedObjs.readSequences(seqFileReader);
    OpdfReader<? extends Opdf<O>> opdfReader = relatedObjs.opdfReader();
    OpdfWriter<? extends Opdf<O>> opdfWriter = relatedObjs.opdfWriter();
    
    Hmm<O> initHmm = HmmReader.read(hmmFileReader, opdfReader);
    BaumWelchLearner bw = new BaumWelchScaledLearner();
    bw.setNbIterations(nbIterations);
    Hmm<O> hmm = bw.learn(initHmm, seqs);
    HmmWriter.write(hmmFileWriter, opdfWriter, hmm);
  }

Examples of be.ac.ulg.montefiore.run.jahmm.learn.BaumWelchLearner

    List<List<ObservationDiscrete<Packet>>> sequences;
    sequences = generateSequences(hmm);
    
    /* Baum-Welch learning */
    
    BaumWelchLearner bwl = new BaumWelchLearner();
    
    Hmm<ObservationDiscrete<Packet>> learntHmm = buildInitHmm();
    
    // This object measures the distance between two HMMs
    KullbackLeiblerDistanceCalculator klc = 
      new KullbackLeiblerDistanceCalculator();
    
    // Incrementally improve the solution
    for (int i = 0; i < 10; i++) {
      System.out.println("Distance at iteration " + i + ": " +
          klc.distance(learntHmm, hmm));
      learntHmm = bwl.iterate(learntHmm, sequences);
    }
    
    System.out.println("Resulting HMM:\n" + learntHmm);
    
    /* Computing the probability of a sequence */

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