python-model-code-generator

What problem does it solve?

Generate Python modeling code from a validated candidate method pool and cleaned data to automate the transition from plan to runnable experiments, ensuring traceability and reproducibility.

Core Features & Use Cases

• Implements the approved candidate methods (baseline, main candidates, optional improved) as Python scripts.
• Produces code that reads cleaned data, runs the planned models, saves results in the experiments/roundN/ output structure, generates a run_summary.json, and creates portable artifacts for downstream reports and robustness checks.
• Does not select the model, clean raw data, review code, run final QA, or write paper sections.

Quick Start

Run the generator using the validated problem parse, the candidate method pool, and cleaned data to produce runnable Python scripts and a run_summary.