abacusai.feature_drift_record
Module Contents
Classes
Value of each type of drift |
- class abacusai.feature_drift_record.FeatureDriftRecord(client, name=None, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None)
Bases:
abacusai.return_class.AbstractApiClass
Value of each type of drift
- Parameters:
client (ApiClient) – An authenticated API Client instance
name (str) – Name of feature.
distance (float) – Symmetric sum of KL divergences between the training distribution and the range of values in the specified window.
jsDistance (float) – JS divergence between the training distribution and the range of values in the specified window.
wsDistance (float) – Wasserstein distance between the training distribution and the range of values in the specified window.
ksStatistic (float) – Kolmogorov-Smirnov statistic computed between the training distribution and the range of values in the specified window.
- __repr__()
Return repr(self).