Package org.apache.mahout.math.stats

Examples of org.apache.mahout.math.stats.OnlineAuc.auc()


      auc3.addSample(0, gen.nextGaussian());
      auc3.addSample(1, gen.nextGaussian() + 1);
    }

    assertEquals(auc1.auc(), auc3.auc(), 0.01);
  }

  @Test
  public void onlineLogisticRegressionRoundTrip() throws IOException {
    OnlineLogisticRegression olr = new OnlineLogisticRegression(2, 5, new L1());
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    Random gen = RandomUtils.getRandom();
    for (int i = 0; i < 10000; i++) {
      auc1.addSample(0, gen.nextGaussian());
      auc1.addSample(1, gen.nextGaussian() + 1);
    }
    assertEquals(0.76, auc1.auc(), 0.01);

    OnlineAuc auc3 = roundTrip(auc1, OnlineAuc.class);

    assertEquals(auc1.auc(), auc3.auc(), 0);
View Full Code Here

    }
    assertEquals(0.76, auc1.auc(), 0.01);

    OnlineAuc auc3 = roundTrip(auc1, OnlineAuc.class);

    assertEquals(auc1.auc(), auc3.auc(), 0);

    for (int i = 0; i < 1000; i++) {
      auc1.addSample(0, gen.nextGaussian());
      auc1.addSample(1, gen.nextGaussian() + 1);
View Full Code Here

      auc3.addSample(0, gen.nextGaussian());
      auc3.addSample(1, gen.nextGaussian() + 1);
    }

    assertEquals(auc1.auc(), auc3.auc(), 0.01);
  }

  @Test
  public void onlineLogisticRegressionRoundTrip() throws IOException {
    OnlineLogisticRegression olr = new OnlineLogisticRegression(2, 5, new L1());
View Full Code Here

    Random gen = RandomUtils.getRandom();
    for (int i = 0; i < 10000; i++) {
      auc1.addSample(0, gen.nextGaussian());
      auc1.addSample(1, gen.nextGaussian() + 1);
    }
    assertEquals(0.76, auc1.auc(), 0.01);

    OnlineAuc auc3 = roundTrip(auc1, OnlineAuc.class);

    assertEquals(auc1.auc(), auc3.auc(), 0);
View Full Code Here

    }
    assertEquals(0.76, auc1.auc(), 0.01);

    OnlineAuc auc3 = roundTrip(auc1, OnlineAuc.class);

    assertEquals(auc1.auc(), auc3.auc(), 0);

    for (int i = 0; i < 1000; i++) {
      auc1.addSample(0, gen.nextGaussian());
      auc1.addSample(1, gen.nextGaussian() + 1);
View Full Code Here

      auc3.addSample(0, gen.nextGaussian());
      auc3.addSample(1, gen.nextGaussian() + 1);
    }

    assertEquals(auc1.auc(), auc3.auc(), 0.01);
  }

  @Test
  public void onlineLogisticRegressionRoundTrip() throws IOException {
    OnlineLogisticRegression olr = new OnlineLogisticRegression(2, 5, new L1());
View Full Code Here

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