operator.h File Reference

#include "../init.h"
#include "tree_node.h"
#include "../util/utils.h"
#include "split.h"

Include dependency graph for operator.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
struct	Brush::Operator< NT, S, Fit, E >
	Core computation of a node's function to data. More...
struct	Brush::Operator< NodeType::Terminal, S, Fit >
	Terminal Overload. More...
struct	Brush::Operator< NodeType::Constant, S, Fit >
struct	Brush::Operator< NodeType::MeanLabel, S, Fit >
struct	Brush::Operator< NT, S, Fit, enable_if_t< is_in_v< NT, NodeType::SplitOn, NodeType::SplitBest > > >

Namespaces
namespace	Brush
	< nsga2 selection operator for getting the front
namespace	Brush::util
namespace	Brush::Split

Macros
#define	SPLIT_H

Functions
template<typename T, typename Scalar, typename W> requires (!is_one_of_v<Scalar,bool,bJet>)
Scalar	Brush::util::get_weight (const TreeNode &tn, const W **weights=nullptr)
	get weight
template<typename T, typename Scalar, typename W> requires (is_one_of_v<Scalar,bool,bJet>)
Scalar	Brush::util::get_weight (const TreeNode &tn, const W **weights=nullptr)
template<typename T>
ArrayXb	Brush::Split::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	Brush::Split::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	Brush::Split::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	Brush::Split::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	Brush::Split::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	Brush::Split::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	Brush::Split::threshold_mask (const T &x, const float &threshold)
	Applies a learned threshold to a feature, returning a mask.
float	Brush::Split::gini_impurity_index (const ArrayXf &classes, const vector< float > &uc)
float	Brush::Split::gain (const ArrayXf &lsplit, const ArrayXf &rsplit, bool classification, vector< float > unique_classes)
template<typename T>
vector< float >	Brush::Split::get_thresholds (const T &x)
tuple< string, float >	Brush::Split::get_best_variable_and_threshold (const Dataset &d, TreeNode &tn)
template<typename T>
tuple< float, float >	Brush::Split::best_threshold (const T &x, const ArrayXf &y, bool classification)
template<typename T>
void	Brush::Split::get_best_threshold_by_type (const Dataset &d, auto &results)
template<typename Ts, std::size_t... Is>
auto	Brush::Split::get_best_thresholds (const Dataset &d, std::index_sequence< Is... >)
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.
template<typename R, NodeType NT, typename S, bool Fit, typename W>
R	Brush::DispatchOp (const Data::Dataset &d, TreeNode &tn, const W **weights)
template<typename R, NodeType NT, typename S, bool Fit>
R	Brush::DispatchOp (const Data::Dataset &d, TreeNode &tn)

Macro Definition Documentation

SPLIT_H

#define SPLIT_H

Definition at line 7 of file operator.h.