Pipeline Runner

This section covers the structured abacus.pipeline runner: how it loads a config and dataset, executes the retained stage sequence, and writes reproducible run artefacts to disk.

Pages

• Runner Overview - How run_pipeline(...) works, which stages run, and when the optimisation stage is skipped.
• YAML Configuration - Which YAML keys the runner consumes and how they map to model build, data loading, holidays, and optimisation.
• CLI Reference - The thin python -m abacus.pipeline.runner interface and its supported flags.
• Output Directory Schema - The run directory layout, manifest schema, stage statuses, and main artefacts.
• Extending the Runner - How to add a stage or wire in reporting without bypassing the manifest and artifact helpers.