Package com.cloudera.cdk.morphline.shaded.org.apache.commons.math3.random

Examples of com.cloudera.cdk.morphline.shaded.org.apache.commons.math3.random.Well44497b

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        Random rand = new SecureRandom();
        int[] seed = new int[624];
        for (int i = 0; i < seed.length; i++) {
          seed[i] = rand.nextInt();
        }
        prng = new Well19937c(seed); // non-secure & fast
      }
      validateArguments();
    }
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                                            double b,
                                            double sigma,
                                            double lo,
                                            double hi,
                                            long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        slope = a;
        intercept = b;
        error = new NormalDistribution(rng, 0, sigma,
                                       NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        x = new UniformRealDistribution(rng, lo, hi,
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                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
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                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
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     * @param cityList List of cities to visit in a single travel.
     * @param numNeuronsPerCity Number of neurons per city.
     */
    public TravellingSalesmanSolver(City[] cityList,
                                    double numNeuronsPerCity) {
        this(cityList, numNeuronsPerCity, new Well44497b().nextLong());
    }
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     * to the trainer.
     */
    public TravellingSalesmanSolver(City[] cityList,
                                    double numNeuronsPerCity,
                                    long seed) {
        random = new Well44497b(seed);

        // Make sure that each city will appear only once in the list.
        for (City city : cityList) {
            cities.add(city);
        }
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                                            double b,
                                            double sigma,
                                            double lo,
                                            double hi,
                                            long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        slope = a;
        intercept = b;
        error = new NormalDistribution(rng, 0, sigma,
                                       NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        x = new UniformRealDistribution(rng, lo, hi,
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     * @param cityList List of cities to visit in a single travel.
     * @param numNeuronsPerCity Number of neurons per city.
     */
    public TravellingSalesmanSolver(City[] cityList,
                                    double numNeuronsPerCity) {
        this(cityList, numNeuronsPerCity, new Well44497b().nextLong());
    }
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     * to the trainer.
     */
    public TravellingSalesmanSolver(City[] cityList,
                                    double numNeuronsPerCity,
                                    long seed) {
        random = new Well44497b(seed);

        final double[] xRange = {Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY};
        final double[] yRange = {Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY};

        // Make sure that each city will appear only once in the list.
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                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
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