├── LICENSE
├── Makefile                <- Makefile with commands like `make data` or `make train`
├── README.md               <- The top-level README for developers using this project.
├── azure                   <- Contains scipts for deploying/training models using Microsoft Azure.
├── data
│   ├── external            <- Data from third party sources.
│   ├── interim             <- Intermediate data that has been transformed.
│   ├── processed           <- The final, canonical data sets for modeling.
│   └── raw                 <- The original, immutable data dump.
│
├── docs                    <- A default Sphinx project; see sphinx-doc.org for details. CURRENTLY NOT IN USE.
│
├── models                  <- Trained and serialized models, model predictions, or model summaries.
│
├── notebooks               <- Jupyter notebooks. Naming convention is a number (for ordering),
│                              the creator's initials, and a short `-` delimited description, e.g.
│                              `1.0-jqp-initial-data-exploration`.
│
├── references              <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports                 <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures             <- Generated graphics and figures to be used in reporting.
│
├── requirements.txt        <- The requirements file for reproducing the analysis environment, e.g.
│                              generated with `pip freeze > requirements.txt`.
├── requirements_test.txt   <- The requirements file for running the tests.
├── 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
│   ├── hparams             <- .yaml files for hyperparameter configuration using Hydra.
│   ├── models              <- Scripts to train models and then use trained models to make
│                              predictions
│── tests                   <- Test scripts using pytest.