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modern-ml-pipeline


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Author: None
License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTI...
Summary: A modern, yaml-driven ML pipeline for multiple models.
Latest version: 1.5.0
Required dependencies: category-encoders | httpx | jinja2 | mlflow | optuna | packaging | pandas | pyarrow | pydantic | python-dotenv | pyyaml | rich | scikit-learn | scipy | setuptools | sqlalchemy | typer | xgboost
Optional dependencies: boto3 | catboost | db-dtypes | fastapi | feast | fsspec | gcsfs | google-cloud-bigquery | google-cloud-bigquery-storage | google-cloud-storage | import-linter | ipykernel | lightgbm | llvmlite | mypy | numba | pre-commit | prometheus-fastapi-instrumentator | psutil | psycopg | psycopg2-binary | pytest | pytest-cov | pytest-json-report | pytest-timeout | pytest-xdist | redis | rtdl-revisiting-models | ruff | s3fs | sqlalchemy-bigquery | torch | uvicorn

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