settings_info Struct Reference

Public Attributes
std::string	dataset_file
int	x_dataset_len
int	y_dataset_len
bool	normalize
std::string	weights_file
std::string	SiMEC_output_file
int	n_iterations
double	delta
bool	invert_direction
std::string	starting_point_file
bool	normalize_starting
string	algo
double	epsilon
double	delta_simexp

Detailed Description

Structure in which we save the settings read from the settings file.

• dataset_file: Name of the file containing the dataset.
• x_dataset_len: Size of the input variables.
• x_dataset_len: Size of the output variables.
• normalize: Whether the dataset must be normalized or not (true/false).
• weights_file: Name of the file containing the structure of the neural network and its weights/biases.
• SiMEC_output_file: Name of the file in which the SiMEC algorithms shall write their outputs.
• n_iterations: Number of iterations.
• delta: The integration step delta of the SiMEC-1D algorithm.
• invert_direction: Whether to invert the direction of SiMEC-1D or not (true/false).
• starting_point_file: The file containing the point for which we build the equivalence class.
• normalize_starting: If SiMEC-1D or SiMExp-1D are selected, this parameter specifies whethere the dataset must be normalized or not (true/false). If true, the maximum and the minimum of the dataset the starting point comes from must be provided in a max_mix_struct.
• algo: Algorithm to run: SiMEC-1D / SiMExp-1D / Predict.
• epsilon: Epsilon of SiMExp-1D algorithm.
• delta_simexp: Delta of the SiMExp-1D algorithm, namely the maximum distance from the starting point.

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

• main.cpp