Package de.jungblut.math

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

23
24
25
26
27
28
29
30
31
32
33
    DoubleMatrix negativePenalty = negativeOutcome
        .multiplyElementWise(negativeLogHypo);
    DoubleMatrix positivePenalty = inverseOutcome
        .multiplyElementWise(positiveLogHypo);

    return (positivePenalty.subtract(negativePenalty)).sum();
  }

  @Override
  public double calculateError(DoubleVector y, DoubleVector hypothesis) {
View Full Code Here
97
98
99
100
101
102
103
104
105
106
107
        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
View Full Code Here
107
108
109
110
111
112
113
114
115
116
        { 3.768227750561635, -1.861672501324946 },
        { -1.7606548237507884, 2.5544868606627005 },
        { -0.9148771784733722, -1.9820382601667268 },
        { 3.936150254656125, 1.2253565233931112 } };

    assertEquals(0, thetaMat.subtract(new DenseDoubleMatrix(result)).sum(),
        1e-4);

  }
}
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.