anklinv / sacred-tutorial-part-2

sacred-tutorial-part-2

Workshop part of sacred tutorial on the MNIST data. The main goal is that you learn how to use sacred.

Project Organization

├── Makefile           <- Makefile with commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using this project.
├── data
│
├── docs               <- A default Sphinx project; see sphinx-doc.org for details
│
├── 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
        │                 prediction
        ├── predict_model.py
        ├── simple_net.py
        └── train_model.py

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