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{{cookiecutter.project_name}}
==============================
{{cookiecutter.description}}
Project Organization
------------
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── 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
|
├── figures <- Graphic output from modeling to be used in reports
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├── 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.
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures <- Generated graphics and figures to be used in reporting
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
| generated with `pip freeze > requirements.txt`
|
├── 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
| |
│   ├── features <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
| |
│   └── models <- scripts to train models and then use trained models to make
| | predictions
│   ├── predict_model.py
│   └── train_model.py
|
└── tox.ini <- tox file with settings for running tox; see tox.testrun.org