utils.h File Reference

#include <Eigen/Dense>
#include <vector>
#include <set>
#include <fstream>
#include <chrono>
#include <ostream>
#include <map>
#include "../init.h"
#include "error.h"
#include <typeindex>
#include <iterator>
#include <tuple>

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Classes
struct	nlohmann::adl_serializer< std::shared_ptr< T > >
struct	std::hash< std::vector< float > >
struct	std::hash< std::tuple< TT... > >
class	Brush::Util::Timer
	class for timing things. More...
struct	Brush::Util::Normalizer
	normalizes a matrix to unit variance, 0 mean centered. More...
struct	Brush::Util::Log_Stats

Namespaces
namespace	Brush::Util
	namespace containing various utility functions
namespace	nlohmann
namespace	std
	STL namespace.
namespace	Brush
	< nsga2 selection operator for getting the front

Typedefs
template<typename T>
using	Brush::Util::TypeMap = std::map<std::type_index, T>
typedef struct Log_Stats	Brush::Util::Log_stats

Functions
void	Brush::Util::clean (ArrayXf &x)
	limits node output to be between MIN_FLT and MAX_FLT
std::string	Brush::Util::ltrim (std::string str, const std::string &chars)
std::string	Brush::Util::rtrim (std::string str, const std::string &chars)
std::string	Brush::Util::trim (std::string str, const std::string &chars)
template<typename V, typename T>
bool	Brush::Util::in (const V &v, const T &i)
	check if element is in vector.
template<typename T, typename Scalar = T::Scalar>
Scalar	Brush::Util::median (const T &v)
	calculate median
float	Brush::Util::variance (const ArrayXf &v, float mean)
	calculate variance when mean provided
float	Brush::Util::variance (const ArrayXf &v)
	calculate variance
float	Brush::Util::skew (const ArrayXf &v)
	calculate skew
float	Brush::Util::kurtosis (const ArrayXf &v)
	calculate kurtosis
float	Brush::Util::covariance (const ArrayXf &x, const ArrayXf &y)
	covariance of x and y
float	Brush::Util::slope (const ArrayXf &x, const ArrayXf &y)
	slope of x/y
float	Brush::Util::pearson_correlation (const ArrayXf &x, const ArrayXf &y)
	the normalized covariance of x and y
float	Brush::Util::mad (const ArrayXf &x)
	median absolute deviation
template<typename T>
vector< size_t >	Brush::Util::argsort (const vector< T > &v, bool ascending=true)
	return indices that sort a vector
template<typename T>
vector< T >	Brush::Util::softmax (const vector< T > &w)
	return the softmax transformation of a vector.
vector< type_index >	Brush::Util::get_dtypes (MatrixXf &X)
	calculates data types for each column of X
template<typename T>
vector< T >	Brush::Util::unique (vector< T > w)
	returns unique elements in vector
template<typename T>
vector< T >	Brush::Util::unique (Matrix< T, -1, -1 > w)
	returns unique elements in Eigen matrix of variable rows/cols
template<typename T>
vector< T >	Brush::Util::unique (Matrix< T, -1, 1 > w)
	returns unique elements in Eigen vector
template<typename T>
vector< T >	Brush::Util::unique (Array< T, -1, 1 > w)
	returns unique elements in 1d Eigen array
template<typename T>
string	Brush::Util::to_string (const T &value)
	template function to convert objects to string for logging
std::string	Brush::Util::ReplaceString (std::string subject, const std::string &search, const std::string &replace)
	find and replace string
void	Brush::Util::ReplaceStringInPlace (std::string &subject, const std::string &search, const std::string &replace)
	string find and replace in place
float	Brush::Util::condition_number (const MatrixXf &X)
	returns true for elements of x that are infinite
MatrixXf	Brush::Util::corrcoef (const MatrixXf &X)
	returns the pearson correlation coefficients of matrix.
float	Brush::Util::mean_square_corrcoef (const MatrixXf &X)
int	Brush::Util::argmiddle (vector< float > &v)
	returns the (first) index of the element with the middlest value in v
	Brush::Util::NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE (Log_Stats, generation, time, best_score, best_score_v, med_score, med_score_v, med_size, med_complexity, max_size, max_complexity)
template<typename T>
std::enable_if_t< std::is_scalar_v< T >, T >	Brush::Util::limited (T x)
	limits the output to finite real numbers
template<typename T>
std::enable_if_t< std::is_base_of_v< Eigen::ArrayBase< T >, T >, T >	Brush::Util::limited (T x)
template<typename T>
void	Brush::Util::reorder (vector< T > &v, vector< int > const &order)
vector< size_t >	Brush::Util::mask_to_index (const ArrayXb &mask)
	convert a boolean mask to an index array
tuple< vector< size_t >, vector< size_t > >	Brush::Util::mask_to_indices (const ArrayXb &mask)
	returns 2 indices: first where mask is true, and second where mask is false.
template<typename T>
array< Array< T,-1, 1 >, 2 >	Brush::Util::split (const Array< T,-1, 1 > &v, const ArrayXb &mask)
	split Eigen matrix or array into two by mask
template<std::ranges::range T>
void	Brush::Util::print (T t)
	prints comma delimited container contents.
template<class Vector, class T>
void	Brush::Util::unique_insert (Vector &v, const T &t)
	unique insertion into a vector. allows a vector to be used like a set. source: http://www.lafstern.org/matt/col1.pdf
template<typename T, std::size_t... Indices>
auto	Brush::Util::vectorToTupleHelper (const std::vector< T > &v, std::index_sequence< Indices... >)
template<std::size_t N, typename T>
auto	Brush::Util::vectorToTuple (const std::vector< T > &v)
template<class T, class U>
std::vector< T >	Brush::Util::slice (const vector< T > &v, const U &idx)
template<typename K, typename V>
static map< V, K >	Brush::Util::reverse_map (const map< K, V > &m)
	Given a map from keys to values, creates a new map from values to keys.
template<typename T>
ostream &	Brush::Util::operator<< (ostream &os, const vector< T > &v)