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Processing Kernel for geospatial data
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FANN::neural_net Class Reference

Public Member Functions

void destroy ()
 
bool create_standard (unsigned int num_layers,...)
 
bool create_standard_array (unsigned int num_layers, const unsigned int *layers)
 
bool create_sparse (float connection_rate, unsigned int num_layers,...)
 
bool create_sparse_array (float connection_rate, unsigned int num_layers, const unsigned int *layers)
 
bool create_shortcut (unsigned int num_layers,...)
 
bool create_shortcut_array (unsigned int num_layers, const unsigned int *layers)
 
fann_type * run (fann_type *input)
 
std::vector< fann_type > run (std::vector< fann_type > input)
 
void randomize_weights (fann_type min_weight, fann_type max_weight)
 
void init_weights (const training_data &data)
 
void print_connections ()
 
bool create_from_file (const std::string &configuration_file)
 
bool save (const std::string &configuration_file)
 
int save_to_fixed (const std::string &configuration_file)
 
void train (fann_type *input, fann_type *desired_output)
 
float train_epoch (const training_data &data)
 
void train_on_data (const training_data &data, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error)
 
void train_on_data (const std::vector< std::vector< fann_type > > &input, const std::vector< std::vector< fann_type > > &output, bool initWeights, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error)
 
void train_on_data (const std::vector< Vector2d< fann_type > > &input, unsigned int num_data, bool initWeights, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error)
 
float cross_validation (std::vector< Vector2d< fann_type > > &trainingFeatures, unsigned int ntraining, unsigned short cv, unsigned int max_epochs, float desired_error, std::vector< unsigned short > &referenceVector, std::vector< unsigned short > &outputVector, short verbose=0)
 
float cross_validation (std::vector< std::vector< fann_type > > &input, std::vector< std::vector< fann_type > > &output, unsigned short cv, unsigned int max_epochs, float desired_error, std::vector< std::vector< fann_type > > &referenceVector, std::vector< std::vector< fann_type > > &outputVector, short verbose=0)
 
void train_on_file (const std::string &filename, unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error)
 
fann_type * test (fann_type *input, fann_type *desired_output)
 
float test_data (const training_data &data)
 
float test_data (const std::vector< Vector2d< fann_type > > &input, unsigned int num_data)
 
float get_MSE ()
 
void reset_MSE ()
 
void set_callback (callback_type callback, void *user_data)
 
void print_parameters ()
 
training_algorithm_enum get_training_algorithm ()
 
void set_training_algorithm (training_algorithm_enum training_algorithm)
 
float get_learning_rate ()
 
void set_learning_rate (float learning_rate)
 
activation_function_enum get_activation_function (int layer, int neuron)
 
void set_activation_function (activation_function_enum activation_function, int layer, int neuron)
 
void set_activation_function_layer (activation_function_enum activation_function, int layer)
 
void set_activation_function_hidden (activation_function_enum activation_function)
 
void set_activation_function_output (activation_function_enum activation_function)
 
fann_type get_activation_steepness (int layer, int neuron)
 
void set_activation_steepness (fann_type steepness, int layer, int neuron)
 
void set_activation_steepness_layer (fann_type steepness, int layer)
 
void set_activation_steepness_hidden (fann_type steepness)
 
void set_activation_steepness_output (fann_type steepness)
 
error_function_enum get_train_error_function ()
 
void set_train_error_function (error_function_enum train_error_function)
 
float get_quickprop_decay ()
 
void set_quickprop_decay (float quickprop_decay)
 
float get_quickprop_mu ()
 
void set_quickprop_mu (float quickprop_mu)
 
float get_rprop_increase_factor ()
 
void set_rprop_increase_factor (float rprop_increase_factor)
 
float get_rprop_decrease_factor ()
 
void set_rprop_decrease_factor (float rprop_decrease_factor)
 
float get_rprop_delta_min ()
 
void set_rprop_delta_min (float rprop_delta_min)
 
float get_rprop_delta_max ()
 
void set_rprop_delta_max (float rprop_delta_max)
 
unsigned int get_num_input ()
 
unsigned int get_num_output ()
 
unsigned int get_total_neurons ()
 
unsigned int get_total_connections ()
 
network_type_enum get_network_type ()
 
float get_connection_rate ()
 
unsigned int get_num_layers ()
 
void get_layer_array (unsigned int *layers)
 
void get_layer_array (std::vector< unsigned int > vlayers)
 
void get_bias_array (unsigned int *bias)
 
void get_connection_array (connection *connections)
 
void get_connection_array (std::vector< connection > &convector)
 
void set_weight_array (connection *connections, unsigned int num_connections)
 
void set_weight_array (std::vector< connection > convector)
 
void set_weight (unsigned int from_neuron, unsigned int to_neuron, fann_type weight)
 
float get_learning_momentum ()
 
void set_learning_momentum (float learning_momentum)
 
stop_function_enum get_train_stop_function ()
 
void set_train_stop_function (stop_function_enum train_stop_function)
 
fann_type get_bit_fail_limit ()
 
void set_bit_fail_limit (fann_type bit_fail_limit)
 
unsigned int get_bit_fail ()
 
void cascadetrain_on_data (const training_data &data, unsigned int max_neurons, unsigned int neurons_between_reports, float desired_error)
 
void cascadetrain_on_file (const std::string &filename, unsigned int max_neurons, unsigned int neurons_between_reports, float desired_error)
 
float get_cascade_output_change_fraction ()
 
void set_cascade_output_change_fraction (float cascade_output_change_fraction)
 
unsigned int get_cascade_output_stagnation_epochs ()
 
void set_cascade_output_stagnation_epochs (unsigned int cascade_output_stagnation_epochs)
 
float get_cascade_candidate_change_fraction ()
 
void set_cascade_candidate_change_fraction (float cascade_candidate_change_fraction)
 
unsigned int get_cascade_candidate_stagnation_epochs ()
 
void set_cascade_candidate_stagnation_epochs (unsigned int cascade_candidate_stagnation_epochs)
 
fann_type get_cascade_weight_multiplier ()
 
void set_cascade_weight_multiplier (fann_type cascade_weight_multiplier)
 
fann_type get_cascade_candidate_limit ()
 
void set_cascade_candidate_limit (fann_type cascade_candidate_limit)
 
unsigned int get_cascade_max_out_epochs ()
 
void set_cascade_max_out_epochs (unsigned int cascade_max_out_epochs)
 
unsigned int get_cascade_max_cand_epochs ()
 
void set_cascade_max_cand_epochs (unsigned int cascade_max_cand_epochs)
 
unsigned int get_cascade_num_candidates ()
 
unsigned int get_cascade_activation_functions_count ()
 
activation_function_enum * get_cascade_activation_functions ()
 
void set_cascade_activation_functions (activation_function_enum *cascade_activation_functions, unsigned int cascade_activation_functions_count)
 
unsigned int get_cascade_activation_steepnesses_count ()
 
fann_type * get_cascade_activation_steepnesses ()
 
void set_cascade_activation_steepnesses (fann_type *cascade_activation_steepnesses, unsigned int cascade_activation_steepnesses_count)
 
unsigned int get_cascade_num_candidate_groups ()
 
void set_cascade_num_candidate_groups (unsigned int cascade_num_candidate_groups)
 
void scale_train (training_data &data)
 
void descale_train (training_data &data)
 
bool set_input_scaling_params (const training_data &data, float new_input_min, float new_input_max)
 
bool set_output_scaling_params (const training_data &data, float new_output_min, float new_output_max)
 
bool set_scaling_params (const training_data &data, float new_input_min, float new_input_max, float new_output_min, float new_output_max)
 
bool clear_scaling_params ()
 
void scale_input (fann_type *input_vector)
 
void scale_output (fann_type *output_vector)
 
void descale_input (fann_type *input_vector)
 
void descale_output (fann_type *output_vector)
 
void set_error_log (FILE *log_file)
 
unsigned int get_errno ()
 
void reset_errno ()
 
void reset_errstr ()
 
std::string get_errstr ()
 
void print_error ()
 

Protected Attributes

struct fann * ann
 

Detailed Description

Definition at line 978 of file myfann_cpp.h.

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