Package org.apache.mahout.math

Examples of org.apache.mahout.math.Vector.zSum()

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    } else {
      Vector p = classify(data);
      if (actual > 0) {
        return Math.max(-100.0, Math.log(p.get(actual - 1)));
      } else {
        return Math.max(-100.0, Math.log1p(-p.zSum()));
      }
    }
  }
}
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    Vector v = lr.classify(new DenseVector(new double[]{0, 0}));
    assertEquals(1 / 3.0, v.get(0), 1.0e-8);
    assertEquals(1 / 3.0, v.get(1), 1.0e-8);

    v = lr.classifyFull(new DenseVector(new double[]{0, 0}));
    assertEquals(1.0, v.zSum(), 1.0e-8);
    assertEquals(1 / 3.0, v.get(0), 1.0e-8);
    assertEquals(1 / 3.0, v.get(1), 1.0e-8);
    assertEquals(1 / 3.0, v.get(2), 1.0e-8);

    // weights for second vector component are still zero so all classifications are equally likely
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    v = lr.classify(new DenseVector(new double[]{0, 1}));
    assertEquals(1 / 3.0, v.get(0), 1.0e-3);
    assertEquals(1 / 3.0, v.get(1), 1.0e-3);

    v = lr.classifyFull(new DenseVector(new double[]{0, 1}));
    assertEquals(1.0, v.zSum(), 1.0e-8);
    assertEquals(1 / 3.0, v.get(0), 1.0e-3);
    assertEquals(1 / 3.0, v.get(1), 1.0e-3);
    assertEquals(1 / 3.0, v.get(2), 1.0e-3);

    // but the weights on the first component are non-zero
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    v = lr.classify(new DenseVector(new double[]{1, 0}));
    assertEquals(Math.exp(-1) / (1 + Math.exp(-1) + Math.exp(-2)), v.get(0), 1.0e-8);
    assertEquals(Math.exp(-2) / (1 + Math.exp(-1) + Math.exp(-2)), v.get(1), 1.0e-8);

    v = lr.classifyFull(new DenseVector(new double[]{1, 0}));
    assertEquals(1.0, v.zSum(), 1.0e-8);
    assertEquals(1 / (1 + Math.exp(-1) + Math.exp(-2)), v.get(0), 1.0e-8);
    assertEquals(Math.exp(-1) / (1 + Math.exp(-1) + Math.exp(-2)), v.get(1), 1.0e-8);
    assertEquals(Math.exp(-2) / (1 + Math.exp(-1) + Math.exp(-2)), v.get(2), 1.0e-8);

    lr.setBeta(0, 1, 1);
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    assertEquals(Math.exp(-2) / (1 + Math.exp(-1) + Math.exp(-2)), v.get(2), 1.0e-8);

    lr.setBeta(0, 1, 1);

    v = lr.classifyFull(new DenseVector(new double[]{1, 1}));
    assertEquals(1.0, v.zSum(), 1.0e-8);
    assertEquals(Math.exp(0) / (1 + Math.exp(0) + Math.exp(-2)), v.get(1), 1.0e-3);
    assertEquals(Math.exp(-2) / (1 + Math.exp(0) + Math.exp(-2)), v.get(2), 1.0e-3);
    assertEquals(1 / (1 + Math.exp(0) + Math.exp(-2)), v.get(0), 1.0e-3);

    lr.setBeta(1, 1, 3);
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    assertEquals(1 / (1 + Math.exp(0) + Math.exp(-2)), v.get(0), 1.0e-3);

    lr.setBeta(1, 1, 3);

    v = lr.classifyFull(new DenseVector(new double[]{1, 1}));
    assertEquals(1.0, v.zSum(), 1.0e-8);
    assertEquals(Math.exp(0) / (1 + Math.exp(0) + Math.exp(1)), v.get(1), 1.0e-8);
    assertEquals(Math.exp(1) / (1 + Math.exp(0) + Math.exp(1)), v.get(2), 1.0e-8);
    assertEquals(1 / (1 + Math.exp(0) + Math.exp(1)), v.get(0), 1.0e-8);
  }
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    w.addToVector("and", v3);
    w.addToVector("more", v3);
    assertEquals(0, v3.minus(v2).norm(1), 0);

    // moreover, the locations set in the unweighted case should be the same as in the weighted case
    assertEquals(v3.zSum(), v3.dot(v1), 0);
  }

  @Test
  public void testAsString() {
    Locale.setDefault(Locale.ENGLISH);
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