External plugins¶
The external plugin index tracks optional extensions that remain outside the core package. Each entry must:
Reuse the calibrated prediction bridge and respect ADR-024/025/026 guardrails.
Highlight binary & multiclass classification plus probabilistic and interval regression coverage.
Document optional telemetry or compliance hooks inside the
Optional extrassection of the hosting page.
Vetted plugins¶
Identifier |
Summary |
Install |
Notes |
|---|---|---|---|
|
FAST explanations and interval calibrators packaged as an opt-in bundle. |
|
Wheel and sdist installs auto-register the shipped FAST identifiers. The optional helper is |
Community submissions¶
This table is reserved for community-maintained plugins. Open an issue with the plugin metadata, ADR alignment notes, and calibration guarantees to request listing.
Identifier |
Contact |
Status |
|---|---|---|
TBD |
community |
Pending |
Optional: aggregated install extra¶
pip install "calibrated-explanations[external-plugins]" installs every curated
external plugin dependency bundle plus the pinned versions of numpy,
pandas, and scikit-learn required by FAST mode. Installed distributions
auto-register the shipped FAST identifiers on import. If you still want the
helper, import external_plugins.fast_explanations and call register()
directly. The helper is not exposed as a python -m command.
Optional: telemetry disclosure¶
External plugins should clearly mark telemetry emission as opt-in and link back to Optional telemetry scaffolding whenever instrumentation is enabled.