Examples of iteration()

Examples of com.heatonresearch.aifh.aco.DiscreteACO.iteration()

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        int sameSolutionCount = 0;
        int iteration = 1;
        double lastSolution = Double.MAX_VALUE;

        while (sameSolutionCount < MAX_SAME_SOLUTION) {
            aco.iteration();

            double thisSolution = aco.getBestCost();

            builder.setLength(0);
            builder.append("Iteration: ");
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Examples of com.heatonresearch.aifh.evolutionary.train.EvolutionaryAlgorithm.iteration()

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        int iteration = 1;
        double lastSolution = Double.MAX_VALUE;
        StringBuilder builder = new StringBuilder();

        while (sameSolutionCount < MAX_SAME_SOLUTION && iteration<1000) {
            genetic.iteration();

            double thisSolution = genetic.getLastError();

            builder.setLength(0);
            builder.append("Iteration: ");
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Examples of com.heatonresearch.aifh.evolutionary.train.basic.BasicEA.iteration()

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        int iteration = 1;
        double lastSolution = Double.MAX_VALUE;
        StringBuilder builder = new StringBuilder();

        while (sameSolutionCount < MAX_SAME_SOLUTION && iteration<1000) {
            genetic.iteration();

            double thisSolution = genetic.getLastError();

            builder.setLength(0);
            builder.append("Iteration: ");
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Examples of com.heatonresearch.aifh.kmeans.KMeans.iteration()

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            final DataSet ds = DataSet.load(istream);
            istream.close();
            final List<BasicData> observations = ds.extractUnsupervisedLabeled(4);
            final KMeans kmeans = new KMeans(3);
            kmeans.initForgy(observations);
            final int iterations = kmeans.iteration(1000);
            System.out.println("Finished after " + iterations + " iterations.");

            for (int i = 0; i < kmeans.getK(); i++) {
                final Cluster cluster = kmeans.getClusters().get(i);
                System.out.println("* * * Cluster #" + i);
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Examples of com.heatonresearch.aifh.learning.TrainPSO.iteration()

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        StringBuilder line = new StringBuilder();

        do {
            iterationNumber++;

            train.iteration();

            RBFNetwork best = (RBFNetwork) train.getBestParticle();

            double trainingScore = train.getLastError();
            double validationScore = scoreValidate.calculateScore(best);
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Examples of com.heatonresearch.aifh.regression.TrainLeastSquares.iteration()

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            final List<BasicData> trainingData = ds.extractSupervised(0, 10, 10, 1);

            final MultipleLinearRegression reg = new MultipleLinearRegression(10);
            final TrainLeastSquares train = new TrainLeastSquares(reg, trainingData);
            train.iteration();
            System.out.println(Arrays.toString(reg.getLongTermMemory()));
            query(reg, trainingData);
            System.out.println("Error: " + train.getError());

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Examples of com.heatonresearch.aifh.regression.TrainReweightLeastSquares.iteration()

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            final TrainReweightLeastSquares train = new TrainReweightLeastSquares(reg, trainingData);

            int iteration = 0;
            do {
                iteration++;
                train.iteration();
                System.out.println("Iteration #" + iteration + ", Error: " + train.getError());
            } while (iteration < 1000 && train.getError() > 0.01);

            query(reg, trainingData);
            System.out.println("Error: " + train.getError());
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Examples of org.encog.ml.bayesian.training.TrainBayesian.iteration()

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    BayesianEvent x3 = network.createEvent("x3", labels);
    network.finalizeStructure();
    TrainBayesian train = new TrainBayesian(network,data,10);
    train.setInitNetwork(BayesianInit.InitEmpty);
    while(!train.isTrainingDone()) {
      train.iteration();
    }
    train.iteration();
    Assert.assertTrue(x1.getParents().size()==0);
    Assert.assertTrue(x2.getParents().size()==1);
    Assert.assertTrue(x3.getParents().size()==1);
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Examples of org.encog.ml.ea.train.EvolutionaryAlgorithm.iteration()

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    // train the neural network
   
    final EvolutionaryAlgorithm train = NEATUtil.constructNEATTrainer(pop,score);
   
    do {
      train.iteration();
      System.out.println("Epoch #" + train.getIteration() + " Error:" + train.getError()+ ", Species:" + pop.getSpecies().size());
    } while(train.getError() > 0.01);

    NEATNetwork network = (NEATNetwork)train.getCODEC().decode(train.getBestGenome());
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Examples of org.encog.ml.fitting.gaussian.TrainGaussian.iteration()

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    double[][] INPUT = { {3,8}, {4,7}, {5,5}, {6,3}, {7,2} };
   
    MLDataSet data = new BasicMLDataSet(INPUT, null);
    GaussianFitting fit = new GaussianFitting(INPUT[0].length);
    TrainGaussian train = new TrainGaussian(fit,data);
    train.iteration();
   
    for(MLDataPair pair: data){
      MLData output = fit.compute(pair.getInput());
      System.out.println( output.getData(0));
    }
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