Examples of UnaryFunction

org.apache.mahout.math.function.UnaryFunction
This interface allows the formulation of unary functions to be applied to matrices inside the inner loops of their implementations.
org.apache.mahout.matrix.UnaryFunction
This interface allows the formulation of unary functions to be applied to matrices inside the inner loops of their implementations.

Examples of org.apache.mahout.math.function.UnaryFunction

    public Vector next() {
      if (!hasNext()) {
        throw new NoSuchElementException();
      }
      Vector result = type == VectorType.SPARSE ? new RandomAccessSparseVector(numItems) : new DenseVector(numItems);
      result.assign(new UnaryFunction(){
        @Override
        public double apply(double arg1) {
          return random.nextDouble();
        }
      });

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Examples of org.apache.mahout.math.function.UnaryFunction

    public Vector next() {
      if (!hasNext()) {
        throw new NoSuchElementException();
      }
      Vector result = type == VectorType.SPARSE ? new RandomAccessSparseVector(numItems) : new DenseVector(numItems);
      result.assign(new UnaryFunction(){
        @Override
        public double apply(double arg1) {
          return random.nextDouble();
        }
      });

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Examples of org.apache.mahout.math.function.UnaryFunction

        // finish off pending regularization
        model.close();
        
        Matrix beta = model.getBeta();
        maxBeta = beta.aggregate(Functions.MAX, Functions.ABS);
        nonZeros = beta.aggregate(Functions.PLUS, new UnaryFunction() {
          @Override
          public double apply(double v) {
            return Math.abs(v) > 1.0e-6 ? 1 : 0;
          }
        });
        positive = beta.aggregate(Functions.PLUS, new UnaryFunction() {
          @Override
          public double apply(double v) {
            return v > 0 ? 1 : 0;
          }
        });

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Examples of org.apache.mahout.math.function.UnaryFunction

    }
  }


  private static Vector randomVector(final Random gen, int n) {
    Vector x = new DenseVector(n);
    x.assign(new UnaryFunction() {
      @Override
      public double apply(double v) {
        return gen.nextGaussian();
      }
    });

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Examples of org.apache.mahout.math.function.UnaryFunction

    updateSteps.assign(other.updateSteps);
    updateCounts.assign(other.updateCounts);
  }


  public boolean validModel() {
    double k = beta.aggregate(Functions.PLUS, new UnaryFunction() {
      @Override
      public double apply(double v) {
        return Double.isNaN(v) || Double.isInfinite(v) ? 1 : 0;
      }
    });

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Examples of org.apache.mahout.matrix.UnaryFunction

    public Vector next() {
      if (!hasNext()) {
        throw new NoSuchElementException();
      }
      Vector result = type == VectorType.SPARSE ? new SparseVector(numItems) : new DenseVector(numItems);
      result.assign(new UnaryFunction(){
        @Override
        public double apply(double arg1) {
          return random.nextDouble();
        }
      });

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