Examples of pdf()

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0;i<100000;i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
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Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0;i<100000;i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
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Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
    }
    Matrix m = auc.entropy();
    assertEquals(-0.35, m.get(0, 0), 0.02);
    assertEquals(-2.34, m.get(0, 1), 0.02);
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Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
    }
    Matrix m = auc.entropy();
    assertEquals(-0.35, m.get(0, 0), 0.02);
    assertEquals(-2.34, m.get(0, 1), 0.02);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0; i<100000; i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0; i<100000; i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
    }
    Matrix m = auc.entropy();
    assertEquals(-0.35, m.get(0, 0), 0.02);
    assertEquals(-2.36, m.get(0, 1), 0.02);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
    }
    Matrix m = auc.entropy();
    assertEquals(-0.35, m.get(0, 0), 0.02);
    assertEquals(-2.36, m.get(0, 1), 0.02);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0;i<100000;i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
View Full Code Here

Examples of org.apache.mahout.math.jet.random.Normal.pdf()

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    Random gen = RandomUtils.getRandom();
    Normal n0 = new Normal(-1, 1, gen);
    Normal n1 = new Normal(1, 1, gen);
    for (int i=0;i<100000;i++) {
      double score = n0.nextDouble();
      double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(0, p);

      score = n1.nextDouble();
      p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
      auc.add(1, p);
View Full Code Here
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