This repository contains the machine learning toolkit used for aviation delay regression. It contains:
- exploration notebooks
- training pipelines
- prediction pipelines
- retraining pipelines
all codes are industralised apart exploration notebooks.
To work on the project, you need:
- install docker
- install poetry
- install depencency in the project by running the command 'poetry install'
Done !! 🥳
Now to work correctly, take a look at the most useful commands in the Makefile
to setup your workstation the first time you start working on this repository, setup pre-commit with:
make setup
to install dependencies on the python environment (and create the env if needed), run
make install
to run tests, run:
make test
to build the docker image (the artifact), run:
make build
to start the api, run:
make run
to start a container with our docker image, run ,
make serve
take a look at the CONTRIBUTING.md for more information about our workflow
happy coding 🔥🎉👨💻
You need more data, take a look at those sources:
documentation:
entre le 1er ministre et le président