Examples of DoubleFunction

cern.colt.function.DoubleFunction
Interface that represents a function object: a function that takes a single argument and returns a single value.
org.apache.hama.commons.math.DoubleFunction
A double double function takes two arguments. A vector or matrix can apply the double function to each element.
org.apache.hama.ml.math.DoubleFunction
A double double function takes two arguments. A vector or matrix can apply the double function to each element.
org.apache.mahout.math.function.DoubleFunction
Interface that represents a function object: a function that takes a single argument and returns a single value. @see org.apache.mahout.math.map

Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>a < b ? 1 : 0</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction less(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return a < b ? 1 : 0; }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt><tt>Math.log(a) / Math.log(b)</tt></tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction lg(final double b) {
  return new DoubleFunction() {
    private final double logInv = 1 / Math.log(b); // cached for speed
    public final double apply(double a) { return Math.log(a) * logInv; }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>Math.max(a,b)</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction max(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return Math.max(a,b); }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>Math.min(a,b)</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction min(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return Math.min(a,b); }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>a % b</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction mod(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return a % b; }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>a + b</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction plus(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return a + b; }
  };
}

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Examples of cern.colt.function.DoubleFunction

/**
 * Constructs a function that returns <tt>Math.pow(a,b)</tt>.
 * <tt>a</tt> is a variable, <tt>b</tt> is fixed.
 */
public static DoubleFunction pow(final double b) {
  return new DoubleFunction() {
    public final double apply(double a) { return Math.pow(a,b); }
  };
}

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Examples of cern.colt.function.DoubleFunction

 * precision = 0.01 rounds 0.012 --> 0.01, 0.018 --> 0.02
 * precision = 10   rounds 123   --> 120 , 127   --> 130
 * </pre>
 */
public static DoubleFunction round(final double precision) {
  return new DoubleFunction() {
    public final double apply(double a) { return Math.rint(a/precision)*precision; }
  };
}

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Examples of org.apache.hama.commons.math.DoubleFunction

    DoubleVector internalInstance = new DenseDoubleVector(inputInstance.getDimension() + 1);
    internalInstance.set(0, 1);
    for (int i = 0; i < inputInstance.getDimension(); ++i) {
      internalInstance.set(i + 1, inputInstance.get(i));
    }
    DoubleFunction squashingFunction = model
        .getSquashingFunction(inputLayer);
    DoubleMatrix weightMatrix = null;
    if (inputLayer == 0) {
      weightMatrix = this.getEncodeWeightMatrix();
    } else {

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Examples of org.apache.hama.commons.math.DoubleFunction

    for (int i = 0; i < this.numberOfLayers - 1; ++i) {
      // add weights for bias
      this.weightMatrice[i] = new DenseDoubleMatrix(this.layerSizeArray[i] + 1,
          this.layerSizeArray[i + 1]);


      this.weightMatrice[i].applyToElements(new DoubleFunction() {


        private final Random rnd = new Random();


        @Override
        public double apply(double value) {

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