An individual program, a.k.a. model. More...

#include <program.h>

Public Types
using	RetType
	the return type of the tree when calling :func:`predict`.

using	TreeType
	the type of output from the tree object

Public Member Functions
	Program ()=default

	Program (const std::reference_wrapper< SearchSpace > s, const tree< Node > t)

Program< PType >	copy ()

void	set_search_space (const std::reference_wrapper< SearchSpace > s)

int	complexity () const
	count the (recursive) complexity of the program.

int	linear_complexity () const
	count the linear complexity of the program.

int	size (bool include_weight=true) const
	count the tree size of the program, including the weights in weighted nodes.

int	size_at (Iter &top, bool include_weight=true) const
	count the size of a given subtree, optionally including the weights in weighted nodes. This function is not exposed to the python wrapper.

int	depth () const
	count the tree depth of the program. The depth is not influenced by weighted nodes.

int	depth_at (Iter &top) const
	count the depth of a given subtree. The depth is not influenced by weighted nodes. This function is not exposed to the python wrapper.

int	depth_to_reach (Iter &top) const
	count the depth until reaching the given subtree. The depth is not influenced by weighted nodes. This function is not exposed to the python wrapper.

Program< PType > &	fit (const Dataset &d)

template<typename R, typename W>
R	predict_with_weights (const Dataset &d, const W **weights)

auto	predict_with_weights (const Dataset &d, const ArrayXf &weights)

template<typename R = RetType> requires (is_same_v<R, TreeType>)
TreeType	predict (const Dataset &d)
	the standard predict function. Returns the output of the Tree directly.

template<typename R = RetType> requires (is_same_v<R, ArrayXb>)
ArrayXb	predict (const Dataset &d)
	Specialized predict function for binary classification.

template<typename R = RetType> requires (is_same_v<R, ArrayXi>)
ArrayXi	predict (const Dataset &d)
	Specialized predict function for multiclass classification.

template<PT P = PType> requires ((P == PT::BinaryClassifier) \|\| (P == PT::MulticlassClassifier))
TreeType	predict_proba (const Dataset &d)

Program< PType > &	fit (const Ref< const ArrayXXf > &X, const Ref< const ArrayXf > &y)
	Convenience function to call fit directly from X,y data.

RetType	predict (const Ref< const ArrayXXf > &X)
	Convenience function to call predict directly from X data.

template<PT P = PType> requires ((P == PT::BinaryClassifier) \|\| (P == PT::MulticlassClassifier))
TreeType	predict_proba (const Ref< const ArrayXXf > &X)
	Predict probabilities from X.

void	update_weights (const Dataset &d)
	Updates the program's weights using non-linear least squares.

int	get_n_weights () const
	returns the number of weights in the program.

ArrayXf	get_weights ()
	Get the weights of the tree as an array.

void	set_weights (const ArrayXf &weights)
	Set the weights in the tree from an array of weights.

void	lock_nodes (int end_depth=0, bool keep_leaves_unlocked=true)
	Iterates over the program, locking the nodes until it reaches a certain depth. If the node is a SplitBest and leaves are kept, then the split feature is fixed.

string	get_model (string fmt="compact", bool pretty=false) const
	Get the model as a string.

string	get_dot_model (string extras="") const
	Get the model as a dot object.

vector< Node >	linearize () const
	turns program tree into a linear program.

Public Attributes
bool	is_fitted_
	whether fit has been called

tree< Node >	Tree
	fitness

std::optional< std::reference_wrapper< SearchSpace > >	SSref
	reference to search space

Static Public Attributes
static constexpr PT	program_type = PType
	an enum storing the program type.

Detailed Description

template<PT PType>
struct Brush::Program< PType >

An individual program, a.k.a. model.

Template Parameters

PType one of the ProgramType enum values.

Definition at line 49 of file program.h.

Member Typedef Documentation

◆ RetType

template<PT PType>

using Brush::Program< PType >::RetType

Initial value:

 typename std::conditional_t<PType == PT::Regressor, ArrayXf,
        std::conditional_t<PType == PT::BinaryClassifier, ArrayXb,
        std::conditional_t<PType == PT::MulticlassClassifier, ArrayXi,
        std::conditional_t<PType == PT::Representer, ArrayXXf, ArrayXf
        >>>>

the return type of the tree when calling :func:predict.

Definition at line 55 of file program.h.

◆ TreeType

template<PT PType>

using Brush::Program< PType >::TreeType

Initial value:

 std::conditional_t<PType == PT::BinaryClassifier, ArrayXf,
        std::conditional_t<PType == PT::MulticlassClassifier, ArrayXXf, 
        RetType>>

the type of output from the tree object

Definition at line 62 of file program.h.

Constructor & Destructor Documentation

◆ Program() [1/2]

template<PT PType>

Brush::Program< PType >::Program ( )

default

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◆ Program() [2/2]

template<PT PType>

Brush::Program< PType >::Program	(	const std::reference_wrapper< SearchSpace >	s,
		const tree< Node >	t )

inline

Definition at line 78 of file program.h.

Member Function Documentation

◆ complexity()

template<PT PType>

int Brush::Program< PType >::complexity ( ) const

inline

count the (recursive) complexity of the program.

Returns: int complexity.

Definition at line 93 of file program.h.

◆ copy()

template<PT PType>

Program< PType > Brush::Program< PType >::copy ( )

inline

Definition at line 84 of file program.h.

◆ depth()

template<PT PType>

int Brush::Program< PType >::depth ( ) const

inline

count the tree depth of the program. The depth is not influenced by weighted nodes.

Returns: int tree depth.

Definition at line 128 of file program.h.

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◆ depth_at()

template<PT PType>

int Brush::Program< PType >::depth_at ( Iter & top ) const

inline

count the depth of a given subtree. The depth is not influenced by weighted nodes. This function is not exposed to the python wrapper.

Parameters

top	root node of the subtree.

Returns: int tree depth.

Definition at line 138 of file program.h.

◆ depth_to_reach()

template<PT PType>

int Brush::Program< PType >::depth_to_reach ( Iter & top ) const

inline

count the depth until reaching the given subtree. The depth is not influenced by weighted nodes. This function is not exposed to the python wrapper.

Parameters

top	root node of the subtree.

Returns: int tree depth.

Definition at line 146 of file program.h.

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◆ fit() [1/2]

template<PT PType>

Program< PType > & Brush::Program< PType >::fit ( const Dataset & d )

inline

Definition at line 150 of file program.h.

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◆ fit() [2/2]

template<PT PType>

Program< PType > & Brush::Program< PType >::fit	(	const Ref< const ArrayXXf > &	X,
		const Ref< const ArrayXf > &	y )

inline

Convenience function to call fit directly from X,y data.

Parameters

X	: Input features
y	: Labels

Returns: : reference to program

Definition at line 231 of file program.h.

◆ get_dot_model()

template<PT PType>

string Brush::Program< PType >::get_dot_model ( string extras = "" ) const

inline

Get the model as a dot object.

Parameters

extras extra code passed to the beginning of the dot code.

Returns: string the model in dot language.

Definition at line 411 of file program.h.

◆ get_model()

template<PT PType>

string Brush::Program< PType >::get_model	(	string	fmt = "compact",
		bool	pretty = false ) const

inline

Get the model as a string.

Parameters

fmt	one of "compact", "tree", or "dot". Default "compact".

compact : the program as an equation.
tree : the program as a (small batch, artisinal) tree.
dot : the program in the dot language for downstream visualization.

Parameters

pretty currently unused.

Returns: string the model in string form.

Definition at line 395 of file program.h.

◆ get_n_weights()

template<PT PType>

int Brush::Program< PType >::get_n_weights ( ) const

inline

returns the number of weights in the program.

Definition at line 269 of file program.h.

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◆ get_weights()

template<PT PType>

ArrayXf Brush::Program< PType >::get_weights ( )

inline

Get the weights of the tree as an array.

Returns: ArrayXf of weights in the program, encoded in post-fix order.

Definition at line 291 of file program.h.

◆ linear_complexity()

template<PT PType>

int Brush::Program< PType >::linear_complexity ( ) const

inline

count the linear complexity of the program.

Returns: int complexity.

Definition at line 101 of file program.h.

◆ linearize()

template<PT PType>

vector< Node > Brush::Program< PType >::linearize ( ) const

inline

turns program tree into a linear program.

Returns: a vector of nodes encoding the program in reverse polish notation

Definition at line 551 of file program.h.

◆ lock_nodes()

template<PT PType>

void Brush::Program< PType >::lock_nodes	(	int	end_depth = 0,
		bool	keep_leaves_unlocked = true )

inline

Iterates over the program, locking the nodes until it reaches a certain depth. If the node is a SplitBest and leaves are kept, then the split feature is fixed.

Parameters

end_depth	the depth to stop locking nodes. Default 0.
keep_leaves_unlocked	whether to skip leaves and leave them unlocked. Default true.

Definition at line 342 of file program.h.

◆ predict() [1/4]

template<PT PType>

template<typename R = RetType>
requires (is_same_v<R, TreeType>)

TreeType Brush::Program< PType >::predict ( const Dataset & d )

inline

the standard predict function. Returns the output of the Tree directly.

Template Parameters

R	return type, default

Parameters

d dataset

Returns

Definition at line 183 of file program.h.

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◆ predict() [2/4]

template<PT PType>

template<typename R = RetType>
requires (is_same_v<R, ArrayXb>)

ArrayXb Brush::Program< PType >::predict ( const Dataset & d )

inline

Specialized predict function for binary classification.

Template Parameters

R	return type, typically left blank

Parameters

d : data

Returns: out: binary labels

Definition at line 196 of file program.h.

◆ predict() [3/4]

template<PT PType>

template<typename R = RetType>
requires (is_same_v<R, ArrayXi>)

ArrayXi Brush::Program< PType >::predict ( const Dataset & d )

inline

Specialized predict function for multiclass classification.

Template Parameters

R	return type, typically left blank

Parameters

d : data

Returns: out: integer labels

Definition at line 209 of file program.h.

◆ predict() [4/4]

template<PT PType>

RetType Brush::Program< PType >::predict ( const Ref< const ArrayXXf > & X )

inline

Convenience function to call predict directly from X data.

Parameters

X	: Input features

Returns: : predictions

Definition at line 240 of file program.h.

◆ predict_proba() [1/2]

template<PT PType>

template<PT P = PType>
requires ((P == PT::BinaryClassifier) || (P == PT::MulticlassClassifier))

TreeType Brush::Program< PType >::predict_proba ( const Dataset & d )

inline

Definition at line 222 of file program.h.

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◆ predict_proba() [2/2]

template<PT PType>

template<PT P = PType>
requires ((P == PT::BinaryClassifier) || (P == PT::MulticlassClassifier))

TreeType Brush::Program< PType >::predict_proba ( const Ref< const ArrayXXf > & X )

inline

Predict probabilities from X.

Requires a BinaryClassifier or MulticlassClassifier.

Template Parameters

P	parameter for type checking, typically left blank.

Definition at line 255 of file program.h.

◆ predict_with_weights() [1/2]

template<PT PType>

auto Brush::Program< PType >::predict_with_weights	(	const Dataset &	d,
		const ArrayXf &	weights )

inline

Definition at line 168 of file program.h.

◆ predict_with_weights() [2/2]

template<PT PType>

template<typename R, typename W>

R Brush::Program< PType >::predict_with_weights	(	const Dataset &	d,
		const W **	weights )

inline

Definition at line 160 of file program.h.

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◆ set_search_space()

template<PT PType>

void Brush::Program< PType >::set_search_space ( const std::reference_wrapper< SearchSpace > s )

inline

Definition at line 86 of file program.h.

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◆ set_weights()

template<PT PType>

void Brush::Program< PType >::set_weights ( const ArrayXf & weights )

inline

Set the weights in the tree from an array of weights.

Parameters

weights an array of weights. The number of the weights in the tree must match the length of weights.

Definition at line 314 of file program.h.

◆ size()

template<PT PType>

int Brush::Program< PType >::size ( bool include_weight = true ) const

inline

count the tree size of the program, including the weights in weighted nodes.

Parameters

include_weight whether to include the node's weight in the count.

Returns: int number of nodes.

Definition at line 110 of file program.h.

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◆ size_at()

template<PT PType>

int Brush::Program< PType >::size_at	(	Iter &	top,
		bool	include_weight = true ) const

inline

count the size of a given subtree, optionally including the weights in weighted nodes. This function is not exposed to the python wrapper.

Parameters

top	root node of the subtree.
include_weight	whether to include the node's weight in the count.

Returns: int number of nodes.

Definition at line 121 of file program.h.

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◆ update_weights()

template<ProgramType PType>

void Brush::Program< PType >::update_weights ( const Dataset & d )

Updates the program's weights using non-linear least squares.

Parameters

d	the dataset

Definition at line 567 of file program.h.

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Member Data Documentation

◆ is_fitted_

template<PT PType>

bool Brush::Program< PType >::is_fitted_

whether fit has been called

Definition at line 67 of file program.h.

◆ program_type

template<PT PType>

PT Brush::Program< PType >::program_type = PType

staticconstexpr

an enum storing the program type.

Definition at line 52 of file program.h.

◆ SSref

template<PT PType>

std::optional<std::reference_wrapper<SearchSpace> > Brush::Program< PType >::SSref

reference to search space

Definition at line 75 of file program.h.

◆ Tree

template<PT PType>

tree<Node> Brush::Program< PType >::Tree

fitness

the underlying tree

Definition at line 73 of file program.h.

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

program.h

Public Types

Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description

Member Typedef Documentation

◆ RetType

◆ TreeType

Constructor & Destructor Documentation

◆ Program() [1/2]

◆ Program() [2/2]

Member Function Documentation

◆ complexity()

◆ copy()

◆ depth()

◆ depth_at()

◆ depth_to_reach()

◆ fit() [1/2]

◆ fit() [2/2]

◆ get_dot_model()

◆ get_model()

◆ get_n_weights()

◆ get_weights()

◆ linear_complexity()

◆ linearize()

◆ lock_nodes()

◆ predict() [1/4]

◆ predict() [2/4]

◆ predict() [3/4]

◆ predict() [4/4]

◆ predict_proba() [1/2]

◆ predict_proba() [2/2]

◆ predict_with_weights() [1/2]

◆ predict_with_weights() [2/2]

◆ set_search_space()

◆ set_weights()

◆ size()

◆ size_at()

◆ update_weights()

Member Data Documentation

◆ is_fitted_

◆ program_type

◆ SSref

◆ Tree