Package org.apache.mahout.math.function

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

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    data.assign(new Normal());

    Matrix queries = new DenseMatrix(numQueries, dimension);
    queries.assign(new Normal());

    Vector queryNorms = queries.aggregateRows(new VectorFunction() {
      @Override
      public double apply(Vector f) {
        return f.getLengthSquared();
      }
    });
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      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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    }
  }

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

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

  @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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    }
  }

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

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

  @Test
  public void testAggregate() {
    double total = test.aggregate(Functions.PLUS, Functions.IDENTITY);
    assertEquals(test.aggregateRows(new VectorFunction() {
      public double apply(Vector v) {
        return v.zSum();
      }
    }).zSum(), total, EPSILON);
  }
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   * @param combiner A function that combines the results of the mapper.
   * @param mapper   A function to apply to each element.
   * @return The result.
   */
  public double aggregate(final BinaryFunction combiner, final UnaryFunction mapper) {
    return aggregateRows(new VectorFunction() {
      public double apply(Vector v) {
        return v.aggregate(combiner, mapper);
      }
    }).aggregate(combiner, Functions.IDENTITY);
  }
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   * @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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