mlquantify.utils

get_prev_from_labels	Get the real prevalence of each class in the target array.
load_quantifier	Load a quantifier from a file.
make_prevs	Generate a list of n_dim values uniformly distributed between 0 and 1 that sum exactly to 1.
apply_cross_validation	Perform cross-validation and return predictions with true labels for each fold.
simplex_uniform_kraemer	Generates n_prev prevalence vectors of n_dim classes uniformly distributed on the simplex, with optional lower and upper bounds.
simplex_grid_sampling	Efficiently generates artificial prevalence vectors that sum to 1 and respect min_val ≤ p_i ≤ max_val for all i.
simplex_uniform_sampling	Generates uniformly distributed prevalence vectors within the simplex, constrained by min_val ≤ p_i ≤ max_val.
get_indexes_with_prevalence	Get indexes for a stratified sample based on the prevalence of each class.