diff --git a/src/include/fann_train.h b/src/include/fann_train.h index b802d70a..14bfc7c7 100644 --- a/src/include/fann_train.h +++ b/src/include/fann_train.h @@ -403,7 +403,7 @@ FANN_EXTERNAL void FANN_API fann_descale_train( struct fann *ann, struct fann_tr Calculate input scaling parameters for future use based on training data. Parameters: - ann - ann for wgich parameters needs to be calculated + ann - ann for which parameters needs to be calculated data - training data that will be used to calculate scaling parameters new_input_min - desired lower bound in input data after scaling (not strictly followed) new_input_max - desired upper bound in input data after scaling (not strictly followed) @@ -424,10 +424,10 @@ FANN_EXTERNAL int FANN_API fann_set_input_scaling_params( Calculate output scaling parameters for future use based on training data. Parameters: - ann - ann for wgich parameters needs to be calculated + ann - ann for which parameters needs to be calculated data - training data that will be used to calculate scaling parameters - new_output_min - desired lower bound in input data after scaling (not strictly followed) - new_output_max - desired upper bound in input data after scaling (not strictly followed) + new_output_min - desired lower bound in output data after scaling (not strictly followed) + new_output_max - desired upper bound in output data after scaling (not strictly followed) See also: @@ -445,12 +445,12 @@ FANN_EXTERNAL int FANN_API fann_set_output_scaling_params( Calculate input and output scaling parameters for future use based on training data. Parameters: - ann - ann for wgich parameters needs to be calculated + ann - ann for which parameters needs to be calculated data - training data that will be used to calculate scaling parameters new_input_min - desired lower bound in input data after scaling (not strictly followed) new_input_max - desired upper bound in input data after scaling (not strictly followed) - new_output_min - desired lower bound in input data after scaling (not strictly followed) - new_output_max - desired upper bound in input data after scaling (not strictly followed) + new_output_min - desired lower bound in output data after scaling (not strictly followed) + new_output_max - desired upper bound in output data after scaling (not strictly followed) See also: ,