Data Drift Options:
- Created
confidence: Union[float, Dict[str, float]]- option can take a float or a dict as an argument. If float has passed, then this confidence level will be used for all features. If dict has passed, then specified features will have a custom confidence levels (all the rest will have default confidence level = 0.95) - Updated
nbinsx: Union[int, Dict[str, int]]- option can take an int or a dict as an argument. If int has passed, then this number of bins will be used for all features. If dict has passed, then specified features will have a custom number of bins (all the rest will have default number of bins = 10) - Updated
feature_stattest_func: Union[None, Callable, Dict[str, Callable]]- option can take a function or a dict as an argument. If a function has passed, then this function will be used to measure drift for all features. If dict has passed, then for specified features custom functions will be used (all the rest features will be processed by an internal algorithm of drift measurement)
Package building:
- Fixed dependencies