Package de.jungblut.math

Examples of de.jungblut.math.DoubleMatrix.multiply()

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        negativeAssociations).divide(data.getRowCount());

    // calculate the weight decay and apply it
    if (lambda != 0d) {
      DoubleVector bias = thetaGradient.getColumnVector(0);
      thetaGradient = thetaGradient.subtract(thetaGradient.multiply(lambda
          / data.getRowCount()));
      thetaGradient.setColumnVector(0, bias);
    }

    // transpose the gradient and negate it, because we transposed theta at the
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    }

    // transpose the gradient and negate it, because we transposed theta at the
    // top and our gradient descent subtracts instead of addition.
    return new CostGradientTuple(j,
        DenseMatrixFolder.foldMatrices((DenseDoubleMatrix) thetaGradient
            .multiply(-1).transpose()));
  }

  private DoubleMatrix multiply(DoubleMatrix a1, DoubleMatrix a2,
      boolean a1Transpose, boolean a2Transpose) {
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