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pyproject.toml 1.6 KB

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  1. [tool.poetry]
  2. name = "mbajk-prediction-system"
  3. version = "0.1.0"
  4. description = ""
  5. authors = ["jasasuster <92645266+jasasuster@users.noreply.github.com>"]
  6. readme = "README.md"
  7. packages = [{ include = "src" }]
  8. [tool.poetry.dependencies]
  9. python = ">=3.10,<3.11"
  10. flask = "^3.0.2"
  11. requests = "^2.31.0"
  12. pandas = "^2.2.1"
  13. numpy = "^1.26.4"
  14. matplotlib = "^3.8.3"
  15. sklearn-preprocessing = "^0.1.0"
  16. scikit-learn = "^1.4.1.post1"
  17. flask-cors = "^4.0.0"
  18. dvc = "^3.49.0"
  19. dvc-s3 = "^3.1.0"
  20. great-expectations = "^0.18.12"
  21. evidently = "^0.4.19"
  22. mlflow = "^2.12.1"
  23. python-dotenv = "^1.0.1"
  24. dagshub = "^0.3.25"
  25. tensorflow-io-gcs-filesystem = "0.27.0"
  26. tensorflow = "~2.10"
  27. onnxruntime = "^1.17.3"
  28. tf2onnx = "1.14.0"
  29. pymongo = "^4.7.2"
  30. tensorflow-model-optimization = "^0.8.0"
  31. [tool.poetry.group.dev.dependencies]
  32. pytest = "^8.1.1"
  33. flask-testing = "^0.8.1"
  34. ipykernel = "^6.29.3"
  35. black = "^24.4.0"
  36. jupyter = "^1.0.0"
  37. [build-system]
  38. requires = ["poetry-core"]
  39. build-backend = "poetry.core.masonry.api"
  40. [tool.poetry.scripts]
  41. serve = "src.serve.api:main"
  42. train = "src.models.train_model:main"
  43. fetch = "src.data.fetch_data:main"
  44. fetch_bike_data = "src.data.fetch_bike_data:main"
  45. fetch_weather_data = "src.data.fetch_weather_data:main"
  46. preprocess_bike_data = "src.data.preprocess_bike_data:main"
  47. preprocess_weather_data = "src.data.preprocess_weather_data:main"
  48. merge_data = "src.data.merge_processed_data:main"
  49. validate = "gx.run_mbajk_checkpoint:main"
  50. test_data = "src.data.data_test:main"
  51. split_data = "src.data.split_data:main"
  52. validate_predictions = "src.models.validate_predictions:main"
  53. test_pred = "src.models.test_predictions:main"
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