apply_minmax            Apply min-max normalization using existing
                        bounds
clip_bounds             Clip values to lower and upper bounds
denormalize_minmax      Reverse min-max normalization
forward_mlp             Forward pass for a single-hidden-layer MLP
get_benchmark           Get a built-in benchmark definition
levy_flight             Lévy flight step generator
list_benchmarks         List built-in benchmark functions
mae_vec                 Mean absolute error
mape_vec                Mean absolute percentage error
mlp_mse_fitness         MSE fitness function for MLP training
normalize_minmax        Min-max normalization
plot.sboa               Plot method for SBOA objects
plot.sboa_mlp           Plot method for SBOA-MLP objects
predict.sboa_mlp        Predict method for SBOA-MLP objects
print.sboa              Print method for SBOA objects
print.sboa_mlp          Print method for SBOA-MLP objects
rmse_vec                Root mean squared error
rsq_vec                 R-squared
sboa                    Secretary Bird Optimization Algorithm
sboa_mlp                Train a single-hidden-layer MLP using SBOA
sigmoid                 Sigmoid activation function
unpack_mlp_params       Unpack MLP parameter vector
