List of learn() Examples

Examples of learn()

be.ac.ulg.montefiore.run.jahmm.learn.BaumWelchLearner.learn()
Does a fixed number of iterations (see {@link #getNbIterations}) of the Baum-Welch algorithm. @param initialHmm An initial estimation of the expected HMM. Thisestimate is critical as the Baum-Welch algorithm only find local minima of its likelihood function. @param sequences The observation sequences on which the learning isbased. Each sequence must have a length higher or equal to 2. @return The HMM that best matches the set of observation sequences given(according to the Baum-Welch algorithm).
be.ac.ulg.montefiore.run.jahmm.learn.BaumWelchScaledLearner.learn()
com.digitalpebble.classification.Learner.learn()
com.wiieditor.neuralnetwork.NeuralNetwork.learn()
com.yahoo.labs.taxomo.LearnModel.learn()
org.wkh.bateman.pso.SimpleParticleSwarmOptimizer.learn()

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

    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);
  }
}

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Examples of be.ac.ulg.montefiore.run.jahmm.learn.BaumWelchScaledLearner.learn()

    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);
  }
}

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Examples of com.digitalpebble.classification.Learner.learn()

    
    // prune terms
    // creator.pruneTermsDocFreq(2,subjectiveCorpus.size());
    
    long l0 = System.currentTimeMillis();
    creator.learn(subjectiveCorpus);
    long l1 = System.currentTimeMillis();
    System.err.println("learning done in "+(l1-l0));
  }
  
  public void testUseModel() throws Exception{

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Examples of com.wiieditor.neuralnetwork.NeuralNetwork.learn()

        double [] output=DataInterpolator.convertCharToNeuronDoubleArr(c);
        NeuralData neuralData=gridPanel.getData().getConvertedNeuralData();
        neuralData.setOutputVector(output);
        
        NeuralNetwork n=NeuralNetwork.createNeuralNetwork();
        n.learn(neuralData);
        n.save();
        
        log.info("Entry: NeuralNetwork learnt for "+c);
        
    }

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Examples of com.yahoo.labs.taxomo.LearnModel.learn()

    return learnBestModel(initialCandidate,d).toString(Model.PrintMode.STATES_ONLY);
  }
  
  Model learnBestModel(Candidate initialCandidate, double d) {
    LearnModel learner = new LearnModel(taxo1, sym1, initialCandidate, strategy, d);
    learner.learn();
    return learner.getBestModel();
  }
  
  String learnBestModelFull(Candidate initialCandidate, int batchSize, int maxIterations) {
    return learnBestModel(initialCandidate, batchSize, maxIterations).toString(Model.PrintMode.FULL);

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Examples of com.yahoo.labs.taxomo.LearnModel.learn()

  
  Model learnBestModel(Candidate initialCandidate, int batchSize, int numIterations ) {
    LearnModel learner = new LearnModel(taxo1, sym1, initialCandidate, strategy, 1.0);
    learner.setBatchSize(batchSize);
    learner.setMaxIterations(numIterations);
    learner.learn();
    return learner.getBestModel();
  }
  
  Candidate getLeafCandidate() {
    return Candidate.createLeafCandidate(taxo1);

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Examples of org.wkh.bateman.pso.SimpleParticleSwarmOptimizer.learn()

        double[] xmin = new double[]{minBuy, minSell, 0.0};
        double[] xmax = new double[]{maxBuy, maxSell, maxStop};


        SimpleParticleSwarmOptimizer optimizer = new SimpleParticleSwarmOptimizer(fitness, xmin, xmax, generations);


        return optimizer.learn();
    }


    public static double getMedianHighOpenSpread(String symbol, int days) throws Exception {
        YahooQuoteFetcher yahooFetcher = new YahooQuoteFetcher();
        String quoteStr = yahooFetcher.fetchQuotes(symbol, days, 60*60*24);

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