xcsf Directory Reference

Directories
directory	utils

Files
file	__init__.py [code]
file	act_integer.c [code]
	integer action functions.
file	act_integer.h [code]
	integer action functions.
file	act_neural.c [code]
	Neural network action functions.
file	act_neural.h [code]
	Neural network action functions.
file	action.c [code]
	Interface for classifier actions.
file	action.h [code]
	Interface for classifier actions.
file	blas.c [code]
	Basic linear algebra functions.
file	blas.h [code]
	Basic linear algebra functions.
file	cl.c [code]
	Functions operating on classifiers.
file	cl.h [code]
	Functions operating on classifiers.
file	clset.c [code]
	Functions operating on sets of classifiers.
file	clset.h [code]
	Functions operating on sets of classifiers.
file	clset_neural.c [code]
	Functions operating on sets of neural classifiers.
file	clset_neural.h [code]
	Functions operating on sets of neural classifiers.
file	cond_dgp.c [code]
	Dynamical GP graph condition functions.
file	cond_dgp.h [code]
	Dynamical GP graph condition functions.
file	cond_dummy.c [code]
	Always-matching dummy condition functions.
file	cond_dummy.h [code]
	Always-matching dummy condition functions.
file	cond_ellipsoid.c [code]
	Hyperellipsoid condition functions.
file	cond_ellipsoid.h [code]
	Hyperellipsoid condition functions.
file	cond_gp.c [code]
	Tree GP condition functions.
file	cond_gp.h [code]
	Tree GP condition functions.
file	cond_neural.c [code]
	Multi-layer perceptron neural network condition functions.
file	cond_neural.h [code]
	Multi-layer perceptron neural network condition functions.
file	cond_rectangle.c [code]
	Hyperrectangle condition functions.
file	cond_rectangle.h [code]
	Hyperrectangle condition functions.
file	cond_ternary.c [code]
	Ternary condition functions.
file	cond_ternary.h [code]
	Ternary condition functions.
file	condition.c [code]
	Interface for classifier conditions.
file	condition.h [code]
	Interface for classifier conditions.
file	config.c [code]
	Configuration file (JSON) handling functions.
file	config.h [code]
	Configuration file handling functions.
file	dgp.c [code]
	An implementation of dynamical GP graphs with fuzzy activations.
file	dgp.h [code]
	An implementation of dynamical GP graphs with fuzzy activations.
file	ea.c [code]
	Evolutionary algorithm functions.
file	ea.h [code]
	Evolutionary algorithm functions.
file	env.c [code]
	Built-in problem environment interface.
file	env.h [code]
	Built-in problem environment interface.
file	env_csv.c [code]
	CSV input file handling functions.
file	env_csv.h [code]
	CSV input file handling functions.
file	env_maze.c [code]
	The discrete maze problem environment module.
file	env_maze.h [code]
	The discrete maze problem environment module.
file	env_mux.c [code]
	The real multiplexer problem environment.
file	env_mux.h [code]
	The real multiplexer problem environment.
file	gp.c [code]
	An implementation of GP trees based upon TinyGP.
file	gp.h [code]
	An implementation of GP trees based upon TinyGP.
file	image.c [code]
	Image handling functions.
file	image.h [code]
	Image handling functions.
file	loss.c [code]
	Loss functions for calculating prediction error.
file	loss.h [code]
	Loss functions for calculating prediction error.
file	main.c [code]
	Main function for stand-alone binary execution.
file	neural.c [code]
	An implementation of a multi-layer perceptron neural network.
file	neural.h [code]
	An implementation of a multi-layer perceptron neural network.
file	neural_activations.c [code]
	Neural network activation functions.
file	neural_activations.h [code]
	Neural network activation functions.
file	neural_layer.c [code]
	Interface for neural network layers.
file	neural_layer.h [code]
	Interface for neural network layers.
file	neural_layer_args.c [code]
	Functions operating on neural network arguments/constants.
file	neural_layer_args.h [code]
	Functions operating on neural network arguments/constants.
file	neural_layer_avgpool.c [code]
	An implementation of an average pooling layer.
file	neural_layer_avgpool.h [code]
	An implementation of an average pooling layer.
file	neural_layer_connected.c [code]
	An implementation of a fully-connected layer of perceptrons.
file	neural_layer_connected.h [code]
	An implementation of a fully-connected layer of perceptrons.
file	neural_layer_convolutional.c [code]
	An implementation of a 2D convolutional layer.
file	neural_layer_convolutional.h [code]
	An implementation of a 2D convolutional layer.
file	neural_layer_dropout.c [code]
	An implementation of a dropout layer.
file	neural_layer_dropout.h [code]
	An implementation of a dropout layer.
file	neural_layer_lstm.c [code]
	An implementation of a long short-term memory layer.
file	neural_layer_lstm.h [code]
	An implementation of a long short-term memory layer.
file	neural_layer_maxpool.c [code]
	An implementation of a 2D maxpooling layer.
file	neural_layer_maxpool.h [code]
	An implementation of a 2D maxpooling layer.
file	neural_layer_noise.c [code]
	An implementation of a Gaussian noise adding layer.
file	neural_layer_noise.h [code]
	An implementation of a Gaussian noise adding layer.
file	neural_layer_recurrent.c [code]
	An implementation of a recurrent layer of perceptrons.
file	neural_layer_recurrent.h [code]
	An implementation of a recurrent layer of perceptrons.
file	neural_layer_softmax.c [code]
	An implementation of a softmax layer.
file	neural_layer_softmax.h [code]
	An implementation of a softmax layer.
file	neural_layer_upsample.c [code]
	An implementation of a 2D upsampling layer.
file	neural_layer_upsample.h [code]
	An implementation of a 2D upsampling layer.
file	pa.c [code]
	Prediction array functions.
file	pa.h [code]
	Prediction array functions.
file	param.c [code]
	Functions for setting and printing parameters.
file	param.h [code]
	Functions for setting and printing parameters.
file	perf.c [code]
	System performance printing.
file	perf.h [code]
	System performance printing.
file	pred_constant.c [code]
	Piece-wise constant prediction functions.
file	pred_constant.h [code]
	Piece-wise constant prediction functions.
file	pred_neural.c [code]
	Multi-layer perceptron neural network prediction functions.
file	pred_neural.h [code]
	Multi-layer perceptron neural network prediction functions.
file	pred_nlms.c [code]
	Normalised least mean squares prediction functions.
file	pred_nlms.h [code]
	Normalised least mean squares prediction functions.
file	pred_rls.c [code]
	Recursive least mean squares prediction functions.
file	pred_rls.h [code]
	Recursive least mean squares prediction functions.
file	prediction.c [code]
	Interface for classifier predictions.
file	prediction.h [code]
	Interface for classifier predictions.
file	pybind_callback.h [code]
	Interface for callbacks.
file	pybind_callback_checkpoint.h [code]
	Checkpoint callback for Python library.
file	pybind_callback_earlystop.h [code]
	Early stopping callback for Python library.
file	pybind_utils.h [code]
	Utilities for Python library.
file	pybind_wrapper.cpp [code]
	Python library wrapper functions.
file	rule_dgp.c [code]
	Dynamical GP graph rule (condition + action) functions.
file	rule_dgp.h [code]
	Dynamical GP graph rule (condition + action) functions.
file	rule_neural.c [code]
	Neural network rule (condition + action) functions.
file	rule_neural.h [code]
	Neural network rule (condition + action) functions.
file	sam.c [code]
	Self-adaptive mutation functions.
file	sam.h [code]
	Self-adaptive mutation functions.
file	utils.c [code]
	Utility functions for random number handling, etc.
file	utils.h [code]
	Utility functions for random number handling, etc.
file	xcs_rl.c [code]
	Reinforcement learning functions.
file	xcs_rl.h [code]
	Reinforcement learning functions.
file	xcs_supervised.c [code]
	Supervised regression learning functions.
file	xcs_supervised.h [code]
	Supervised regression learning functions.
file	xcsf.c [code]
	System-level functions for initialising, saving, loading, etc.
file	xcsf.h [code]
	XCSF data structures.