A binary space partitioning tree node is split into its left and right child. More...
Classes | |
| struct | SplitInfo |
| An information about the partition. More... | |
Static Public Member Functions | |
template < typename VecType > | |
| static bool | AssignToLeftNode (const VecType &point, const SplitInfo &splitInfo) |
| Indicates that a point should be assigned to the left subtree. More... | |
| static size_t | PerformSplit (MatType &data, const size_t begin, const size_t count, const SplitInfo &splitInfo) |
| Perform the split process according to the information about the split. More... | |
| static size_t | PerformSplit (MatType &data, const size_t begin, const size_t count, const SplitInfo &splitInfo, std::vector< size_t > &oldFromNew) |
| Perform the split process according to the information about the split and return the list of changed indices. More... | |
| static bool | SplitNode (const BoundType &bound, MatType &data, const size_t begin, const size_t count, SplitInfo &splitInfo) |
| Find the partition of the node. More... | |
Detailed Description
template<typenameBoundType,typenameMatType=arma::mat>
class mlpack::tree::MeanSplit< BoundType, MatType >
A binary space partitioning tree node is split into its left and right child.
The split is done in the dimension that has the maximum width. The points are divided into two parts based on the mean in this dimension.
Definition at line 29 of file mean_split.hpp.
Member Function Documentation
◆ AssignToLeftNode()
|
inlinestatic |
Indicates that a point should be assigned to the left subtree.
- Parameters
-
point The point that is being assigned. splitInfo An information about the split.
Definition at line 113 of file mean_split.hpp.
References MeanSplit< BoundType, MatType >::SplitInfo::splitDimension, and MeanSplit< BoundType, MatType >::SplitInfo::splitVal.
◆ PerformSplit() [1/2]
|
inlinestatic |
Perform the split process according to the information about the split.
This will order the dataset such that points that belong to the left subtree are on the left of the split column, and points from the right subtree are on the right side of the split column.
- Parameters
-
data The dataset used by the binary space tree. begin Index of the starting point in the dataset that belongs to this node. count Number of points in this node. splitInfo The information about the split.
Definition at line 72 of file mean_split.hpp.
◆ PerformSplit() [2/2]
|
inlinestatic |
Perform the split process according to the information about the split and return the list of changed indices.
This will order the dataset such that points that belong to the left subtree are on the left of the split column, and points from the right subtree are on the right side of the split column.
- Parameters
-
data The dataset used by the binary space tree. begin Index of the starting point in the dataset that belongs to this node. count Number of points in this node. splitInfo The information about the split. oldFromNew Vector which will be filled with the old positions for each new point.
Definition at line 96 of file mean_split.hpp.
◆ SplitNode()
|
static |
Find the partition of the node.
This method fills up the dimension that will be used to split the node and the value according which the split will be performed.
- Parameters
-
bound The bound used for this node. data The dataset used by the binary space tree. begin Index of the starting point in the dataset that belongs to this node. count Number of points in this node. splitInfo An information about the split. This information contains the dimension and the value.
The documentation for this class was generated from the following file:
- /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/core/tree/binary_space_tree/mean_split.hpp