ml-docs

What problem does it solve?

Manage and standardize Kaggle ML experiment documentation by organizing a 3-layer structure: Full Log, Evidence Ledger, and Compact Document, enabling clear history, verified facts, and ready-to-resume summaries.

Core Features & Use Cases

• Clear 3-layer architecture separating history, evidence, and operational context for repeatable experimentation.
• Lifecycle commands: init to scaffold docs, strategy to form proposals, log to record results, status to review current state.
• Guidance and references for formatting and updating each layer to support auditability and collaboration.

Quick Start

Run ml-docs init exp001 to create the 3-layer documentation scaffold for a new experiment.