Package de.jungblut.math

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

25
26
27
28
29
30
31
32
33
34
35
    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;
            }
View Full Code Here
51
52
53
54
55
56
57
58
59
60
61
    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;
            }
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.