Persist InsideForest models

Learn how to save, version, and load models for production flows.

Save models

clf.save("artifacts/insideforest.joblib")

Load and reuse

from InsideForest import InsideForestRegionClusterer

loaded = InsideForestRegionClusterer.load("artifacts/insideforest.joblib")
labels = loaded.predict(X_new)
details = loaded.assign_regions(X_new)

labels are region IDs and can contain -1. Loading preserves regions_, distributions, region_metrics_, and training labels_.

Best practices

• Version artifacts with the date and model number.
• Store catalogs derived with MetaExtractor.
• Run pytest -q before promoting models.

See Reproducibility for additional tips.