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{{cookiecutter.description}}
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## Project Organization
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├── Justfile <- Makefile with commands like `make data` or `make train`
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├── README.md <- The top-level README for developers using this project.
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├── data
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│ ├── 30_processed <- The final, canonical data sets for modeling.
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│ ├── 20_interim <- Intermediate data that has been transformed.
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│ └── 10_raw <- The original, immutable data dump.
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│
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├── nbs <- Jupyter notebooks. Namiwith creator's initials, a number (for ordering), and short `-` delimited description, e.g.
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│ `jqp-1.0-initial-data-exploration`.
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│
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├── pyproject.toml <- defines project dependencies and build configuration
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├── src <- Source code for use in this project.
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│ ├── __init__.py <- Makes src a Python module
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│ │
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│ ├── data <- Scripts to download or generate data
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│ │ └── make_dataset.py
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│ │
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│ ├── features <- Scripts to turn raw data into features for modeling
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│ │ └── build_features.py
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│ │
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│ ├── models <- Scripts to train models and then use trained models to make
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│ │ │ predictions
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│ │ ├── predict_model.py
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│ │ └── train_model.py
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│ │
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│ └── visualization <- Scripts to create exploratory and results oriented visualizations
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└── visualize.py
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Project status: TODO
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Project plan:
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- [x] Init
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- [ ] Fill out README
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- [ ] ???
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- [ ] Profit
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## Install requirements
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This project uses poetry for requirement and is set up for torch using cuda.
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```
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This project uses [poetry](https://python-poetry.org/) for requirement and is set up for torch using cuda.
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~~~
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poetry install
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```
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~~~
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## How to get data
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TODO document how to get the data
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## How to run
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This project uses [just](https://github.com/casey/just)
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@@ -52,6 +33,36 @@ This project uses [just](https://github.com/casey/just)
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just --list
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~~~
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## Project Organization
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Note this project uses
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- [Justfile](https://github.com/casey/just): Command runner with commands like `just data` or `just train`
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- data: [data directory ](https://cookiecutter-data-science.drivendata.org/#directory-structure)
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- ./10_raw <- The original, immutable data dump.
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- ./20_interim <- Intermediate data that has been transformed.
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- ./30_processed <- The final, canonical data sets for modeling.
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- nbs: upyter notebooks. Name with creator's initials, a number (for ordering), and short `-` delimited description, e.g. `jqp-1.0-initial-data-exploration`.
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- pyproject.toml: defines poetry project dependencies and build configuration
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- {{cookiecutter.project_name}}: Source code for use in this project.
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## How to cite
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~~~bibtext
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@software{wassname2024{{ cookiecutter.project_name.lower().replace(' ', '_') },
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author = {Clark, M.J.},
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title = { {{cookiecutter.project_name}} },
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year = {2024},
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publisher = {GitHub},
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journal = {GitHub repository},
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url = {https://github.com/wassname/{{ cookiecutter.project_name.lower().replace(' ', '_') }} },
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commit = {<commit hash>}
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}
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~~~
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--------
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<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
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