abacusai.feature_drift_record
Classes
Value of each type of drift |
Module Contents
- class abacusai.feature_drift_record.FeatureDriftRecord(client, name=None, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None, psi=None, csi=None, chiSquare=None)
Bases:
abacusai.return_class.AbstractApiClassValue 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.
psi (float) – Population stability index computed between the training distribution and the range of values in the specified window.
csi (float) – Characteristic Stability Index computed between the training distribution and the range of values in the specified window.
chiSquare (float) – Chi-square statistic computed between the training distribution and the range of values in the specified window.
- name
- distance
- js_distance
- ws_distance
- ks_statistic
- psi
- csi
- chi_square
- deprecated_keys
- __repr__()