ce-pipeline-builder

Build a calibrated explanation pipeline by wrapping your model with WrapCalibratedExplainer to enforce strict fit, calibrate, and explain or predict sequencing. This orchestrates end-to-end CE-first workflows for generating safe, interpretable outputs.

The CE-first checklist validates library presence, wrapper usage, model fitting, calibration, and guarded explanation paths. It enforces correct behavior in agent workflows to ensure safe, calibrated outputs across standard and guarded inference paths.

Yes, WrapCalibratedExplainer supports binary, multiclass, and regression pipelines. The pipeline builder provides minimal working skeletons and validated utilities from ce_agent_utils to automate these end-to-end workflows.

Generate narrative explanations by following the mandatory CE-first sequencing of fitting and calibrating your wrapped model. The pipeline integrates with ce_agent_utils to automate narrative generation across standard and guarded inference paths.

The CE-first pipeline builder requires strict adherence to the fit, calibrate, and explain sequencing. It mandates passing separate data for fitting and calibration, and relies on the WrapCalibratedExplainer wrapper, limiting flexibility for non-standard workflows.