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forecasting-long-horizon-behavior

End-to-end forecasting system on GCP: multi-model champion selection, digital-twin cold starts, and long-horizon forecasts scored live against reality.

Development

Python 3.11+. Dependencies are declared once in pyproject.toml and locked with hashes under requirements/ (compiled by pip-tools; recompile commands are in requirements/requirements.in).

python -m venv .venv
.venv\Scripts\Activate.ps1        # PowerShell (source .venv/bin/activate on bash)
pip install --require-hashes -r requirements/dev-requirements.txt
pip install --no-deps -e .

Run the same checks CI runs:

ruff check .
ruff format --check .
mypy
pytest

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End-to-end forecasting system on GCP: multi-model champion selection, digital-twin cold starts, and long-horizon forecasts scored live against reality.

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