Examples of VectorFunction

net.fec.openrq.util.linearalgebra.vector.functor.VectorFunction
org.apache.mahout.math.function.VectorFunction
Defines a function of a vector that returns a double.

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

    }
  }


  @Test
  public void testAggregateCols() {
    Vector v = test.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    });

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

  }


  @Test
  public void testAggregate() {
    double total = test.aggregate(Functions.PLUS, Functions.IDENTITY);
    assertEquals(test.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    }).zSum(), total, EPSILON);

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

   * @param mapper   A function to apply to each element.
   * @return The result.
   */
  @Override
  public double aggregate(final DoubleDoubleFunction combiner, final DoubleFunction mapper) {
    return aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.aggregate(combiner, mapper);
      }
    }).aggregate(combiner, Functions.IDENTITY);

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

    }
  }


  @Test
  public void testAggregateRows() {
    Vector v = test.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    });

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

    }
  }


  @Test
  public void testAggregateCols() {
    Vector v = test.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    });

View Full Code Here

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

  }


  @Test
  public void testAggregate() {
    double total = test.aggregate(Functions.PLUS, Functions.IDENTITY);
    assertEquals(test.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    }).zSum(), total, EPSILON);

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


  private void verifyInternals(Path tempDir, Matrix a, Omega omega, int kp, int q) {
    int m = a.numRows();
    int n = a.numCols();


    Vector xi = a.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum() / v.size();
      }
    });


    // materialize omega
    Matrix momega = new DenseMatrix(n, kp);
    for (int i = 0; i < n; i++)
      for (int j = 0; j < kp; j++)
        momega.setQuick(i, j, omega.getQuick(i, j));


    Vector s_o = omega.mutlithreadedTRightMultiply(xi);


    System.out.printf("s_omega=\n%s\n", s_o);


    Matrix y = a.times(momega);
    for (int i = 0; i < n; i++) y.viewRow(i).assign(s_o, Functions.MINUS);


    QRDecomposition qr = new QRDecomposition(y);
    Matrix qm = qr.getQ();


    Vector s_q = qm.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    });

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

    }
    return new DenseMatrix(data);
  }


  private void normalize(Matrix source, final double range) {
    final double max = source.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector column) {
        return column.maxValue();
      }
    }).maxValue();


    final double min = source.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector column) {
        return column.minValue();
      }
    }).minValue();

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

      x.viewRow(row).assign(c.viewPart(0, 5));
      row++;
    }


    // Verify that each column looks right. Should contain zeros except for a single 6.
    final Vector columnNorms = x.aggregateColumns(new VectorFunction() {
      @Override
      public double apply(Vector f) {
        // Return the sum of three discrepancy measures.
        return Math.abs(f.minValue()) + Math.abs(f.maxValue() - 6) + Math.abs(f.norm(1) - 6);
      }

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

    }
  }


  @Test
  public void testAggregateRows() {
    Vector v = test.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector v) {
        return v.zSum();
      }
    });

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