utilities

array_sparsity	Calculate the sparsity (percentage of zeros) of an array-like.
check_pipeline	Validate a pipeline setup.
feature_name_mapper	Map a vector of feature names feature_names against the full set of feature names provided by feature_names_in.
get_module_name	Retrieve the name of the calling module.
inf_mask	Return a boolean numpy array or vector indicating the locations of infinity-like values in the data.
nan_mask	This function combines pybear nan_mask_numerical() and nan_mask_string(), giving a centralized location for masking numerical and non-numerical data.
nan_mask_numerical	Return a boolean numpy array or vector indicating the locations of nan-like representations in the data.
nan_mask_string	In all cases, return an identically shaped boolean numpy array or vector indicating the locations of nan-like representations in the data.
permuter	Find all possible unique combinations in drawing a single value from each group in a collection of groups of unique values.
print_inspect_stack	Print a module's stack hierarchy to screen.
serial_index_mapper	Map serial index positions to their zero-based Cartesian coordinates in an object of the given shape.
time_memory_benchmark	Measure the average time (seconds) and the average change in system RAM (MB) when computing functions.
timer	Wraps a function with a timer that displays the time in seconds it took for the function to run.
union_find	Use the union-find algorithm to find groups of connected values from disjoint pairs of connected values.