Package de.jungblut.math

Examples of de.jungblut.math.DoubleVector.toArray()

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      outcome.add(new DenseDoubleVector(arr));
    }
    knn.train(features, outcome);

    DoubleVector prediction = knn.predict(new SingleEntryDoubleVector(5));
    assertArrayEquals(new double[] { 1d, 0, 0, 0, 1d }, prediction.toArray());
    prediction = knn.predictProbability(new SingleEntryDoubleVector(5));
    assertArrayEquals(new double[] { 0.5, 0, 0, 0, 0.5 }, prediction.toArray());
  }

  void assertArrayEquals(double[] real, double[] actual) {
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    knn.train(features, outcome);

    DoubleVector prediction = knn.predict(new SingleEntryDoubleVector(5));
    assertArrayEquals(new double[] { 1d, 0, 0, 0, 1d }, prediction.toArray());
    prediction = knn.predictProbability(new SingleEntryDoubleVector(5));
    assertArrayEquals(new double[] { 0.5, 0, 0, 0, 0.5 }, prediction.toArray());
  }

  void assertArrayEquals(double[] real, double[] actual) {
    assertEquals(real.length, actual.length);
    for (int i = 0; i < real.length; i++) {
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