Brush::Split Namespace Reference

Functions
template<typename T>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, bool>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, bJet>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, float>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, fJet>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, int>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
template<typename T> requires same_as<typename T::Scalar, iJet>
ArrayXb	threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
float	gini_impurity_index (const ArrayXf &classes, const vector< float > &uc)
float	gain (const ArrayXf &lsplit, const ArrayXf &rsplit, bool classification, vector< float > unique_classes)
template<typename T>
vector< float >	get_thresholds (const T &x)
tuple< string, float >	get_best_variable_and_threshold (const Dataset &d, TreeNode &tn)
template<typename T>
tuple< float, float >	best_threshold (const T &x, const ArrayXf &y, bool classification)
template<typename T>
void	get_best_threshold_by_type (const Dataset &d, auto &results)
template<typename Ts, std::size_t... Is>
auto	get_best_thresholds (const Dataset &d, std::index_sequence< Is... >)
template<typename T>
T	stitch (array< T, 2 > &child_outputs, const ArrayXb &mask)
	Stitches together outputs from left or right child based on threshold.
template<>
vector< float >	get_thresholds< ArrayXb > (const ArrayXb &x)
template<>
vector< float >	get_thresholds< ArrayXbJet > (const ArrayXbJet &x)
template<>
vector< float >	get_thresholds< ArrayXi > (const ArrayXi &x)
template<>
vector< float >	get_thresholds< ArrayXiJet > (const ArrayXiJet &x)
template<>
vector< float >	get_thresholds< ArrayXf > (const ArrayXf &x)
template<>
vector< float >	get_thresholds< ArrayXfJet > (const ArrayXfJet &x)
template<>
ArrayXb	threshold_mask< State > (const State &x, const float &threshold)

Function Documentation

best_threshold()

template<typename T>

tuple< float, float > Brush::Split::best_threshold	(	const T &	x,
		const ArrayXf &	y,
		bool	classification )

Definition at line 62 of file operator.h.

gain()

float Brush::Split::gain	(	const ArrayXf &	lsplit,
		const ArrayXf &	rsplit,
		bool	classification,
		vector< float >	unique_classes )

Definition at line 66 of file split.cpp.

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get_best_threshold_by_type()

template<typename T>

void Brush::Split::get_best_threshold_by_type	(	const Dataset &	d,
		auto &	results )

Definition at line 116 of file operator.h.

get_best_thresholds()

template<typename Ts, std::size_t... Is>

auto Brush::Split::get_best_thresholds	(	const Dataset &	d,
		std::index_sequence< Is... >	)

Definition at line 154 of file operator.h.

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get_best_variable_and_threshold()

tuple< string, float > Brush::Split::get_best_variable_and_threshold	(	const Dataset &	d,
		TreeNode &	tn )

Definition at line 7 of file split.cpp.

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get_thresholds()

template<typename T>

vector< float > Brush::Split::get_thresholds

(

const T &

x

)

get_thresholds< ArrayXb >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXb >

(

const ArrayXb &

x

)

Definition at line 7 of file split.cpp.

get_thresholds< ArrayXbJet >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXbJet >

(

const ArrayXbJet &

x

)

Definition at line 7 of file split.cpp.

get_thresholds< ArrayXf >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXf >

(

const ArrayXf &

x

)

Definition at line 7 of file split.cpp.

get_thresholds< ArrayXfJet >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXfJet >

(

const ArrayXfJet &

x

)

Definition at line 7 of file split.cpp.

get_thresholds< ArrayXi >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXi >

(

const ArrayXi &

x

)

Definition at line 7 of file split.cpp.

get_thresholds< ArrayXiJet >()

template<>

vector< float > Brush::Split::get_thresholds< ArrayXiJet >

(

const ArrayXiJet &

x

)

Definition at line 7 of file split.cpp.

gini_impurity_index()

float Brush::Split::gini_impurity_index	(	const ArrayXf &	classes,
		const vector< float > &	uc )

Definition at line 93 of file split.cpp.

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stitch()

template<typename T>

T Brush::Split::stitch	(	array< T, 2 > &	child_outputs,
		const ArrayXb &	mask )

Stitches together outputs from left or right child based on threshold.

Definition at line 173 of file operator.h.

threshold_mask() [1/7]

template<typename T>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 16 of file operator.h.

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threshold_mask() [2/7]

template<typename T>
requires same_as<typename T::Scalar, bool>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 16 of file operator.h.

threshold_mask() [3/7]

template<typename T>
requires same_as<typename T::Scalar, bJet>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 20 of file operator.h.

threshold_mask() [4/7]

template<typename T>
requires same_as<typename T::Scalar, float>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 27 of file operator.h.

threshold_mask() [5/7]

template<typename T>
requires same_as<typename T::Scalar, fJet>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 31 of file operator.h.

threshold_mask() [6/7]

template<typename T>
requires same_as<typename T::Scalar, int>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 40 of file operator.h.

threshold_mask() [7/7]

template<typename T>
requires same_as<typename T::Scalar, iJet>

ArrayXb Brush::Split::threshold_mask	(	const T &	x,
		const float &	threshold )

Applies a learned threshold to a feature, returning a mask.

Definition at line 45 of file operator.h.

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threshold_mask< State >()

template<>

ArrayXb Brush::Split::threshold_mask< State >	(	const State &	x,
		const float &	threshold )

Definition at line 54 of file split.cpp.

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