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

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

    return r;
  }


  /** Returns sqrt(a^2 + b^2) without under/overflow. */
  private static BinaryFunction hypotFunction() {
    return new BinaryFunction() {
      public double apply(double a, double b) {
        return hypot(a, b);
      }
    };
  }

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    return phi;
  }
  
  private static Vector digamma(Vector v) {
    Vector digammaGamma = new DenseVector(v.size());
    digammaGamma.assign(v, new BinaryFunction() {
      @Override
      public double apply(double unused, double g) {
        return digamma(g);
      }
    });

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    return phi;
  }
  
  private static Vector digamma(Vector v) {
    Vector digammaGamma = new DenseVector(v.size());
    digammaGamma.assign(v, new BinaryFunction() {
      @Override
      public double apply(double unused, double g) {
        return digamma(g);
      }
    });

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  // -------- classification methods


  @Override
  public Vector classify(Vector instance) {
    Vector r = new DenseVector(numCategories() - 1);
    BinaryFunction scale = Functions.plusMult(1.0 / models.size());
    for (OnlineLogisticRegression model : models) {
      r.assign(model.classify(instance), scale);
    }
    return r;
  }

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  }


  @Override
  public Vector classifyNoLink(Vector instance) {
    Vector r = new DenseVector(numCategories() - 1);
    BinaryFunction scale = Functions.plusMult(1.0 / models.size());
    for (OnlineLogisticRegression model : models) {
      r.assign(model.classifyNoLink(instance), scale);
    }
    return r;
  }

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Related Classes of org.apache.mahout.math.function.BinaryFunction

org.apache.mahout.classifier.sgd.CrossFoldLearner

org.apache.mahout.clustering.lda.LDAInference

org.apache.mahout.math.matrix.linalg.Algebra

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