cmnemoi-learn - Machine Learning from scratch by Charles-Meldhine Madi Mnemoi
Repository in which I will implement some of the machine learning models described in Elements Of Statistical Learning by Hastie, Tibshirani and Friedman from scratch (using only numpy
) in form of a Python package.
The implementations will be unit tested against popular implementation (Scikit-learn, PyTorch) with pytest
.
The quality of the code will be checked using black
, pylint
and mypy
at each commit through a GitHub Action CI pipeline.
The package will be published on PyPI at each push to the main
branch through a GitHub Action CD pipeline.
Install the package
pyenv and poetry
pyenv install 3.11
pyenv local 3.11
poetry install
Anaconda or Miniconda
conda create -n cmnemoi-learn python=3.11 -y
conda activate cmnemoi-learn
pip install cmnemoi-learn
Contributing
Clone the repo :
git clone https://github.com/cmnemoi/cmnemoi-learn.git
cd cmnemoi-learn
Then install dependencies.
If you run Poetry and pyenv:
pyenv install 3.11
pyenv local 3.11
poetry install --with=dev,test
If you run Miniconda or Anaconda:
conda create -n cmnemoi-learn-dev python=3.11 -y
conda activate cmnemoi-learn-dev
pip install -r requirements-dev.txt