mlpack
random_dimension_select.hpp
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1 
12 #ifndef MLPACK_METHODS_DECISION_TREE_RANDOM_DIMENSION_SELECT_HPP
13 #define MLPACK_METHODS_DECISION_TREE_RANDOM_DIMENSION_SELECT_HPP
14 
15 namespace mlpack {
16 namespace tree {
17 
22 {
23  public:
28  RandomDimensionSelect() : dimensions(0) { }
29 
33  size_t Begin() const { return math::RandInt(dimensions); }
34 
38  size_t End() const { return dimensions; }
39 
44  size_t Next() const { return dimensions; }
45 
47  size_t Dimensions() const { return dimensions; }
49  size_t& Dimensions() { return dimensions; }
50 
51  private:
53  size_t dimensions;
54 };
55 
56 } // namespace tree
57 } // namespace mlpack
58 
59 #endif
size_t Dimensions() const
Get the number of dimensions.
Definition: random_dimension_select.hpp:47
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: cv.hpp:1
This dimension selection policy only selects one single random dimension.
Definition: random_dimension_select.hpp:21
size_t End() const
Get the last dimension to select from.
Definition: random_dimension_select.hpp:38
size_t & Dimensions()
Set the number of dimensions.
Definition: random_dimension_select.hpp:49
size_t Begin() const
Get the first dimension to select from.
Definition: random_dimension_select.hpp:33
int RandInt(const int hiExclusive)
Generates a uniform random integer.
Definition: random.hpp:110
size_t Next() const
Get the next (last) dimensions.
Definition: random_dimension_select.hpp:44
RandomDimensionSelect()
Construct the RandomDimensionSelect object with the given number of dimensions.
Definition: random_dimension_select.hpp:28