abacusai.embedding_feature_drift_distribution
Module Contents
Classes
Feature distribution for embeddings |
- class abacusai.embedding_feature_drift_distribution.EmbeddingFeatureDriftDistribution(client, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None, averageDrift={})
Bases:
abacusai.return_class.AbstractApiClass
Feature 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.
averageDrift (DriftTypesValue) – Average drift embedding for each type of drift
- __repr__()
Return repr(self).