The BestBinaryNumericSplit is a splitting function for decision trees that will exhaustively search a numeric dimension for the best binary split. More...

Classes
class	AuxiliarySplitInfo

Static Public Member Functions
template < typename ElemType >
static size_t	CalculateDirection (const ElemType &point, const arma::Col< ElemType > &classProbabilities, const AuxiliarySplitInfo< ElemType > &)
	Given a point, calculate which child it should go to (left or right). More...

template < typename ElemType >
static size_t	NumChildren (const arma::Col< ElemType > &, const AuxiliarySplitInfo< ElemType > &)
	Returns 2, since the binary split always has two children. More...

template<bool UseWeights, typename VecType , typename WeightVecType >
static double	SplitIfBetter (const double bestGain, const VecType &data, const arma::Row< size_t > &labels, const size_t numClasses, const WeightVecType &weights, const size_t minimumLeafSize, const double minimumGainSplit, arma::Col< typename VecType::elem_type > &classProbabilities, AuxiliarySplitInfo< typename VecType::elem_type > &aux)
	Check if we can split a node. More...

Detailed Description

template
<
typename
FitnessFunction
>

class mlpack::tree::BestBinaryNumericSplit< FitnessFunction >

The BestBinaryNumericSplit is a splitting function for decision trees that will exhaustively search a numeric dimension for the best binary split.

Template Parameters

FitnessFunction Fitness function to use to calculate gain.

Definition at line 27 of file best_binary_numeric_split.hpp.

Member Function Documentation

◆ CalculateDirection()

static size_t CalculateDirection	(	const ElemType &	point,
		const arma::Col< ElemType > &	classProbabilities,
		const AuxiliarySplitInfo< ElemType > &
	)

static

Given a point, calculate which child it should go to (left or right).

Parameters

point	Point to calculate direction of.
classProbabilities	Auxiliary information for the split.
aux	(Unused) auxiliary information for the split.

Referenced by BestBinaryNumericSplit< FitnessFunction >::NumChildren().

◆ NumChildren()

static size_t NumChildren	(	const arma::Col< ElemType > &	,
		const AuxiliarySplitInfo< ElemType > &
	)

inlinestatic

Returns 2, since the binary split always has two children.

Definition at line 69 of file best_binary_numeric_split.hpp.

References BestBinaryNumericSplit< FitnessFunction >::CalculateDirection().

◆ SplitIfBetter()

static double SplitIfBetter	(	const double	bestGain,
		const VecType &	data,
		const arma::Row< size_t > &	labels,
		const size_t	numClasses,
		const WeightVecType &	weights,
		const size_t	minimumLeafSize,
		const double	minimumGainSplit,
		arma::Col< typename VecType::elem_type > &	classProbabilities,
		AuxiliarySplitInfo< typename VecType::elem_type > &	aux
	)

static

Check if we can split a node.

If we can split a node in a way that improves on 'bestGain', then we return the improved gain. Otherwise we return the value 'bestGain'. If a split is made, then classProbabilities and aux may be modified.

Parameters

bestGain	Best gain seen so far (we'll only split if we find gain better than this).
data	The dimension of data points to check for a split in.
numCategories	Number of categories in the categorical data.
labels	Labels for each point.
numClasses	Number of classes in the dataset.
minimumLeafSize	Minimum number of points in a leaf node for splitting.
classProbabilities	Class probabilities vector, which may be filled with split information a successful split.
aux	Auxiliary split information, which may be modified on a successful split.

The documentation for this class was generated from the following file:

/home/ryan/src/mlpack.org/_src/mlpack-3.1.1/src/mlpack/methods/decision_tree/best_binary_numeric_split.hpp

Classes