Package de.jungblut.math.function

Examples of de.jungblut.math.function.DoubleVectorFunction

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    double loss = 0d;
    for (Tuple<DoubleVector, DoubleVector> dx : data) {
      DoubleVector prediction = reg.predict(dx.getFirst());
      prediction = new DenseDoubleVector(
          prediction.apply(new DoubleVectorFunction() {

            @Override
            public double calculate(int index, double value) {
              return value > 0.5 ? 1d : 0d;
            }
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    double loss = 0d;
    for (Tuple<DoubleVector, DoubleVector> dx : data) {
      DoubleVector prediction = reg.predict(dx.getFirst());
      prediction = new DenseDoubleVector(
          prediction.apply(new DoubleVectorFunction() {

            @Override
            public double calculate(int index, double value) {
              return value > 0.5 ? 1d : 0d;
            }
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Related Classes of de.jungblut.math.function.DoubleVectorFunction

  • de.jungblut.classification.regression.SparseMultiLabelRegressionTest
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