mlpack::tree::AllCategoricalSplit< FitnessFunction > Class Template Reference

The AllCategoricalSplit is a splitting function that will split categorical features into many children: one child for each category. 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 > &)
	Calculate the direction a point should percolate to. More...
template<typename ElemType >
static size_t	NumChildren (const arma::Col< ElemType > &classProbabilities, const AuxiliarySplitInfo< ElemType > &)
	Return the number of children in the split. More...
template<typename VecType >
static double	SplitIfBetter (const double bestGain, const VecType &data, const size_t numCategories, const arma::Row< size_t > &labels, const size_t numClasses, const size_t minimumLeafSize, 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::AllCategoricalSplit< FitnessFunction >

The AllCategoricalSplit is a splitting function that will split categorical features into many children: one child for each category.

Template Parameters

FitnessFunction

Fitness function to evaluate gain with.

Definition at line 23 of file all_categorical_split.hpp.

Member Function Documentation

template<typename FitnessFunction >

template<typename ElemType >

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

static

Calculate the direction a point should percolate to.

Parameters

classProbabilities	Auxiliary information for the split.
aux	(Unused) auxiliary information for the split.

template<typename FitnessFunction >

template<typename ElemType >

static size_t mlpack::tree::AllCategoricalSplit< FitnessFunction >::NumChildren ( const arma::Col< ElemType > &  classProbabilities, const AuxiliarySplitInfo< ElemType > &    )

static

Return the number of children in the split.

Parameters

classProbabilities	Auxiliary information for the split.
aux	(Unused) auxiliary information for the split.

template<typename FitnessFunction >

template<typename VecType >

static double mlpack::tree::AllCategoricalSplit< FitnessFunction >::SplitIfBetter ( const double  bestGain, const VecType &  data, const size_t  numCategories, const arma::Row< size_t > &  labels, const size_t  numClasses, const size_t  minimumLeafSize, 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. For this particular split type, aux will be empty and classProbabilities will hold one element—the number of children.

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:

• src/mlpack/methods/decision_tree/all_categorical_split.hpp