anklinv / sacred-tutorial-part-1

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sacred-tutorial-part-1

Tutorial part of the sacred workshop on simple iris dataset

Project Organization

├── Makefile           <- Makefile with commands like `make data` or `make train`
│
├── README.md          <- The top-level README for developers using this project.
│
├── data               <- Data directory (not on GitHub)
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
└── src                <- Source code for use in this project.
    ├── __init__.py    <- Makes src a Python module
    │
    ├── data           <- Scripts to download or generate data
    │   └── make_dataset.py
    │
    └── models         <- Scripts to train models and then use trained models to make
        │                 predictions
        ├── predict_model.py
        └── train_model.py

Project based on the cookiecutter data science project template. #cookiecutterdatascience

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Language:Makefile 63.1%Language:Python 36.9%