├── 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.
│   └── raw            <- The original, immutable data dump.
├── Docker             <- Docker settings for minio, mlflow, pgsql, nginx
├── docs               <- A default Sphinx project; see sphinx-doc.org for details
├── mlruns             <- Meta-data of mlflows runnings
├── models             <- Trained and serialized models, model predictions, or model summaries
├── notebooks          <- Jupyter notebooks (EDA)
├── 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.
│   ├── models         <- Scripts to train models and then use trained models to make
│   │   │                 predictions
│   │   ├── predict_model.py
│   │   ├── predict_sample.py
│   │   └── train_model.py
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│   |   └── visualize.py
|   ├── app       <- Scripts to run API
│       └── inference.py
├── venv               <- Virtual environment settings
└── tox.ini            <- tox file with settings for running tox; see tox.readthedocs.io
└── docker-compose.yaml <- Docker settings
└── dvc.lock           <- DVC meta-data
└── dvc.yaml           <- DVC pipline settings 
└── mlops-ods.drawio.xml    <- Pipline structure in draw.io format
└── poetry path.txt    <- Usefull CLI commands 
└── poetry.lock        <- Poetry meta-data 
└── pyproject.toml     <- Poetry settings 
└── start.py           <- Simple pythons pipline