sklearn.utils.validation.check_memory

sklearn.utils.validation.check_memory(memory) [source]

Check that memory is joblib.Memory-like.

joblib.Memory-like means that memory can be converted into a sklearn.utils.Memory instance (typically a str denoting the cachedir) or has the same interface (has a cache method).

Parameters:	memory : None, str or object with the joblib.Memory interface
Returns:	memory : object with the joblib.Memory interface
Raises:	ValueError If memory is not joblib.Memory-like.