Examples of nextGaussian()

Examples of java.util.Random.nextGaussian()

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            PolynomialFunction p = buildRandomPolynomial(degree, randomizer);

            PolynomialFitter fitter = new PolynomialFitter(new LevenbergMarquardtOptimizer());
            for (double x = -1.0; x < 1.0; x += 0.01) {
                fitter.addObservedPoint(1.0, x,
                                        p.value(x) + 0.1 * randomizer.nextGaussian());
            }

            final double[] init = new double[degree + 1];
            PolynomialFunction fitted = new PolynomialFunction(fitter.fit(init));

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Examples of java.util.Random.nextGaussian()

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            PolynomialFitter fitter = new PolynomialFitter(new LevenbergMarquardtOptimizer());
            for (int i = 0; i < 40000; ++i) {
                double x = -1.0 + i / 20000.0;
                fitter.addObservedPoint(1.0, x,
                                        p.value(x) + 0.1 * randomizer.nextGaussian());
            }

            final double[] init = new double[degree + 1];
            PolynomialFunction fitted = new PolynomialFunction(fitter.fit(init));

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Examples of java.util.Random.nextGaussian()

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            final PolynomialFunction p = buildRandomPolynomial(degree, randomizer);
            final PolynomialCurveFitter fitter = PolynomialCurveFitter.create(degree);

            final WeightedObservedPoints obs = new WeightedObservedPoints();
            for (double x = -1.0; x < 1.0; x += 0.01) {
                obs.add(1.0, x, p.value(x) + 0.1 * randomizer.nextGaussian());
            }

            final PolynomialFunction fitted = new PolynomialFunction(fitter.fit(obs.toList()));

            for (double x = -1.0; x < 1.0; x += 0.01) {
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Examples of java.util.Random.nextGaussian()

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            final PolynomialCurveFitter fitter = PolynomialCurveFitter.create(degree);
            final WeightedObservedPoints obs = new WeightedObservedPoints();
            for (int i = 0; i < 40000; ++i) {
                final double x = -1.0 + i / 20000.0;
                obs.add(1.0, x, p.value(x) + 0.1 * randomizer.nextGaussian());
            }

            final PolynomialFunction fitted = new PolynomialFunction(fitter.fit(obs.toList()));
            for (double x = -1.0; x < 1.0; x += 0.01) {
                final double error = FastMath.abs(p.value(x) - fitted.value(x)) /
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Examples of java.util.Random.nextGaussian()

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        Random rand = new Random();
        if (seed != null) rand.setSeed(seed);
        for (int t = 0; t < N_TRIAL; ++t) {
            double[] prob = initProbability();
            double alpha = this.alpha + rand.nextGaussian() * ALPHA_WIDTH;

            for (int i = 0;; ++i) {
                int r = rand.nextInt(ngrams.size());
                updateLangProb(prob, ngrams.get(r), alpha);
                if (i % 5 == 0) {
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Examples of java.util.Random.nextGaussian()

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    Random r = new Random(1234L);
    for (int i = 0; i < nonNullRows; i++) {
      SequentialAccessSparseVector v = new SequentialAccessSparseVector(numCols);
      for (int j = 0; j < entriesPerRow; j++) {
        int col = r.nextInt(numCols);
        double val = r.nextGaussian();
        v.set(col, val * entryMean);
      }
      int c = r.nextInt(numRows);
      if (r.nextBoolean() || numRows == nonNullRows) {
        m.assignRow(numRows == nonNullRows ? i : c, v);
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Examples of java.util.Random.nextGaussian()

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      BitSet featureSpace = new BitSet(cardinality);
      int[] indexes = new int[sparsity];
      double[] values = new double[sparsity];
      int j = 0;
      while (j < sparsity) {
        double value = r.nextGaussian();
        int index = r.nextInt(cardinality);
        if (featureSpace.get(index) == false) {
          featureSpace.set(index);
          indexes[j] = index;
          values[j++] = value;
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Examples of java.util.Random.nextGaussian()

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      for (int j = 0; j < 10; j++) {
        input.put(String.valueOf(i) + String.valueOf(j), String.valueOf(i));
      }
      JSONEvent e = new JSONEvent();
      e.setHeaders(input);
      e.setBody(String.valueOf(rand.nextGaussian()).getBytes(encoding));
      events.add(e);
    }
    Gson gson = new Gson();
    String json = gson.toJson(events, listType);
    StringEntity input = new StringEntity(json);
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Examples of java.util.Random.nextGaussian()

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        input.put(String.valueOf(i) + String.valueOf(j), String.valueOf(i));
      }
      input.put("MsgNum", String.valueOf(i));
      JSONEvent e = new JSONEvent();
      e.setHeaders(input);
      e.setBody(String.valueOf(rand.nextGaussian()).getBytes("UTF-8"));
      events.add(e);
    }
    Gson gson = new Gson();
    String json = gson.toJson(events, listType);
    HttpsURLConnection httpsURLConnection = null;
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Examples of java.util.Random.nextGaussian()

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            input.put(String.valueOf(i) + String.valueOf(j), String.valueOf(i));
        }
        input.put("MsgNum", String.valueOf(i));
        JSONEvent e = new JSONEvent();
        e.setHeaders(input);
        e.setBody(String.valueOf(rand.nextGaussian()).getBytes("UTF-8"));
        events.add(e);
    }
    Gson gson = new Gson();
    String json = gson.toJson(events, listType);
    HttpURLConnection httpURLConnection = null;
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