Package org.apache.mahout.matrix

Examples of org.apache.mahout.matrix.TimesFunction

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      pi.set(k, p);
      if (max < p)
        max = p;
    }
    // normalize the probabilities by largest observed value
    pi.assign(new TimesFunction(), 1.0 / max);
    return pi;
  }
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      pi.set(k, p);
      if (max < p)
        max = p;
    }
    // normalize the probabilities by largest observed value
    pi.assign(new TimesFunction(), 1.0 / max);
    return pi;
  }
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   * @param dv a Vector of rectangle sizes
   */
  void plotRectangle(Graphics2D g2, Vector v, Vector dv) {
    int h = size / 2;
    double[] flip = { 1, -1 };
    Vector v2 = v.copy().assign(new DenseVector(flip), new TimesFunction());
    v2 = v2.minus(dv.divide(2));
    double x = v2.get(0) + h;
    double y = v2.get(1) + h;
    g2.draw(new Rectangle2D.Double(x * ds, y * ds, dv.get(0) * ds, dv.get(1)
        * ds));
 
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   * @param dv a Vector of rectangle sizes
   */
  void plotEllipse(Graphics2D g2, Vector v, Vector dv) {
    int h = size / 2;
    double[] flip = { 1, -1 };
    Vector v2 = v.copy().assign(new DenseVector(flip), new TimesFunction());
    v2 = v2.minus(dv.divide(2));
    double x = v2.get(0) + h;
    double y = v2.get(1) + h;
    g2
        .draw(new Ellipse2D.Double(x * ds, y * ds, dv.get(0) * ds, dv.get(1)
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   * @param v a Vector of rectangle centers
   * @param dv a Vector of rectangle sizes
   */
  public static void plotRectangle(Graphics2D g2, Vector v, Vector dv) {
    double[] flip = { 1, -1 };
    Vector v2 = v.clone().assign(new DenseVector(flip), new TimesFunction());
    v2 = v2.minus(dv.divide(2));
    int h = size / 2;
    double x = v2.get(0) + h;
    double y = v2.get(1) + h;
    g2.draw(new Rectangle2D.Double(x * ds, y * ds, dv.get(0) * ds, dv.get(1)
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   * @param v a Vector of rectangle centers
   * @param dv a Vector of rectangle sizes
   */
  public static void plotEllipse(Graphics2D g2, Vector v, Vector dv) {
    double[] flip = { 1, -1 };
    Vector v2 = v.clone().assign(new DenseVector(flip), new TimesFunction());
    v2 = v2.minus(dv.divide(2));
    int h = size / 2;
    double x = v2.get(0) + h;
    double y = v2.get(1) + h;
    g2
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      if (max < p) {
        max = p;
      }
    }
    // normalize the probabilities by largest observed value
    pi.assign(new TimesFunction(), 1.0 / max);
    return pi;
  }
View Full Code Here
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      if (max < p) {
        max = p;
      }
    }
    // normalize the probabilities by largest observed value
    pi.assign(new TimesFunction(), 1.0 / max);
    return pi;
  }
View Full Code Here
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Related Classes of org.apache.mahout.matrix.TimesFunction

  • org.apache.mahout.clustering.dirichlet.DirichletClusterer
  • org.apache.mahout.clustering.dirichlet.DirichletMapper
  • org.apache.mahout.clustering.dirichlet.DisplayDirichlet
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