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2.0 KiB
2.0 KiB
CHAMPI
🍄 Reconnaissance de champignons 🍄
Projet de groupe 2024 DataScientest
Organisation du projet
├── LICENSE
├── README.md
├── data <- (in .gitignore)
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's name, and a short `-` delimited description, e.g.
│ `1.0-alban-data-exploration`.
│
├── references <- Data dictionaries, manuals, links, and all other explanatory materials.
│
├── reports <- Project reports as PDF
│ └── figures <- Generated graphics and figures used in reporting
│
├── 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
│ │
│ ├── 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
│ │
│ ├── visualization <- Scripts to create exploratory and results oriented visualizations
│ │ └── visualize.py