Skip to content

API Reference

Full auto-generated API documentation from source code docstrings.

Core

Module Description
SWIFTMonitor Main entry point — the scikit-learn compatible monitor
Types Data types: Bucket, BucketSet, SWIFTResult, enums

Pipeline Stages

Module Stage Description
Extraction 1 Decision point extraction from tree models
Bucketing 2 Bucket construction from decision points
Normalization 3 SHAP normalization per bucket
Distance 4 Wasserstein distance computation
Threshold 5 Permutation test and multiple testing correction

Utilities

Module Description
Aggregation Model-level score aggregation
Plotting Visualization functions