abacusai.embedding_feature_drift_distribution
Classes
Feature distribution for embeddings |
Module Contents
- class abacusai.embedding_feature_drift_distribution.EmbeddingFeatureDriftDistribution(client, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None, psi=None, csi=None, chiSquare=None, averageDrift={})
Bases:
abacusai.return_class.AbstractApiClassFeature distribution for embeddings
- Parameters:
client (ApiClient) – An authenticated API Client instance
distance (list) – Histogram data of KL divergences between the training distribution and the range of values in the specified window.
jsDistance (list) – Histogram data of JS divergence between the training distribution and the range of values in the specified window.
wsDistance (list) – Histogram data of Wasserstein distance between the training distribution and the range of values in the specified window.
ksStatistic (list) – Histogram data of Kolmogorov-Smirnov statistic computed between the training distribution and the range of values in the specified window.
psi (list) – Histogram data of Population stability index computed between the training distribution and the range of values in the specified window.
csi (list) – Histogram data of Characteristic Stability Index computed between the training distribution and the range of values in the specified window.
chiSquare (list) – Histogram data of Chi-square statistic computed between the training distribution and the range of values in the specified window.
averageDrift (DriftTypesValue) – Average drift embedding for each type of drift
- distance
- js_distance
- ws_distance
- ks_statistic
- psi
- csi
- chi_square
- average_drift
- deprecated_keys
- __repr__()