Examples of MLSequenceSet

org.encog.ml.data.MLSequenceSet
A sequence set is a collection of data sets. Where each individual data set is one "unbroken sequence" within the sequence set. This allows individual observations to occur individually, indicating a break between them. The sequence set, itself, is a data set, so it can be used with any Encog trainer. However, not all trainers are aware of sequence sets. Further, some machine learning methods are unaffected by them. Sequence sets are typically used with Hidden Markov Models (HMM)'s.

Examples of org.encog.ml.data.MLSequenceSet

    
    HiddenMarkovModel hmm = buildDiscHMM();
    HiddenMarkovModel learntHmm = buildDiscInitHMM();
    
    MarkovGenerator mg = new MarkovGenerator(hmm);
    MLSequenceSet training = mg.generateSequences(200,100);
    
    TrainBaumWelch bwl = new TrainBaumWelch(learntHmm,training);
    
    KullbackLeiblerDistanceCalculator klc = 
      new KullbackLeiblerDistanceCalculator();

View Full Code Here

Examples of org.encog.ml.data.MLSequenceSet

    
    HiddenMarkovModel hmm = buildContHMM();
    HiddenMarkovModel learntHmm = buildContInitHMM();
    
    MarkovGenerator mg = new MarkovGenerator(hmm);
    MLSequenceSet training = mg.generateSequences(200,100);
    
    TrainBaumWelch bwl = new TrainBaumWelch(learntHmm,training);
    
    KullbackLeiblerDistanceCalculator klc = 
      new KullbackLeiblerDistanceCalculator();

View Full Code Here

Examples of org.encog.ml.data.MLSequenceSet

  public void testDiscKMeans() {
    
    HiddenMarkovModel hmm = buildDiscHMM();
    
    MarkovGenerator mg = new MarkovGenerator(hmm);
    MLSequenceSet sequences = mg.generateSequences(200,100);
    
    TrainKMeans trainer = new TrainKMeans(hmm,sequences);
    
    HiddenMarkovModel learntHmm = buildDiscInitHMM();

View Full Code Here

Examples of org.encog.ml.data.MLSequenceSet

    newSequence();
  }


  public MLSequenceSet generateSequences(final int observationCount,
      final int observationLength) {
    final MLSequenceSet result = new BasicMLSequenceSet();


    for (int i = 0; i < observationCount; i++) {
      result.startNewSequence();
      result.add(observationSequence(observationLength));
    }


    return result;
  }

View Full Code Here

TOP

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.