mlquantify.utils.general

convert_columns_to_arrays	Converts specified columns in a DataFrame from strings of arrays to NumPy arrays.
generate_artificial_indexes	Generate indexes for a stratified sample based on the prevalence of each class.
generate_artificial_prevalences	Generates n artificial prevalences with n dimensions.
get_real_prev	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.
normalize_prevalence	Normalize the prevalence of each class to sum to 1.
parallel	Run a function in parallel on a list of elements.
round_protocol_df	Round the columns of a protocol dataframe to a specified number of decimal places.
get_measure	Get the measure from the evaluation module.
get_method	Get the method from the methods module.