Examples of TimesFunction

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

    }
  }


  @Test
  public void testAssignBinaryFunction3() throws Exception {
    test.assign(new TimesFunction(), 4);
    for (int i = 0; i < test.size(); i++) {
      assertEquals("value[" + i + ']', values[i + 1] * 4, test.getQuick(i), EPSILON);
    }
  }

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

      }
      // converged!
      double eigenValue = state.getStatusProgress().get(state.getStatusProgress().size() - 1).getEigenValue();
      // it's actually more efficient to do this to normalize than to call currentEigen = currentEigen.normalize(),
      // because the latter does a clone, which isn't necessary here.
      currentEigen.assign(new TimesFunction(), 1 / currentEigen.norm(2));
      eigens.assignRow(i, currentEigen);
      eigenValues.add(eigenValue);
      state.setCurrentEigenValues(eigenValues);
      log.info("Found eigenvector {}, eigenvalue: {}", i, eigenValue);

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

    } else {
      int i = 0;
      for (Cluster model : models) {
        pdfs.set(i++, model.pdf(new VectorWritable(instance)));
      }
      return pdfs.assign(new TimesFunction(), 1.0 / pdfs.zSum());
    }
  }

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

    }
  }


  @Test
  public void testAssignBinaryFunction3() throws Exception {
    test.assign(new TimesFunction(), 4);
    for (int i = 0; i < test.size(); i++) {
      assertEquals("value[" + i + ']', values[i + 1] * 4, test.getQuick(i), EPSILON);
    }
  }

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

    }
  }


  @Test
  public void testAssignBinaryFunction3() throws Exception {
    test.assign(new TimesFunction(), 4);
    for (int i = 0; i < test.size(); i++) {
      assertEquals("value[" + i + ']', values[i + 1] * 4, test.getQuick(i), EPSILON);
    }
  }

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

      }
      // converged!
      double eigenValue = state.getStatusProgress().get(state.getStatusProgress().size() - 1).getEigenValue();
      // it's actually more efficient to do this to normalize than to call currentEigen = currentEigen.normalize(),
      // because the latter does a clone, which isn't necessary here.
      currentEigen.assign(new TimesFunction(), 1 / currentEigen.norm(2));
      eigens.assignRow(i, currentEigen);
      eigenValues.add(eigenValue);
      state.setCurrentEigenValues(eigenValues);
      log.info("Found eigenvector {}, eigenvalue: {}", i, eigenValue);

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Examples of org.apache.mahout.matrix.TimesFunction

      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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Examples of org.apache.mahout.matrix.TimesFunction

      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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Examples of org.apache.mahout.matrix.TimesFunction

   * @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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Examples of org.apache.mahout.matrix.TimesFunction

   * @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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