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Setting up Environment and Repo

PART A: Set-up work environment

Install conda

For instance using the Miniforge3 installer:

https://github.com/conda-forge/miniforge

Set up virtual environment

conda create -n sklearndev -c conda-forge numpy scipy matplotlib pytest sphinx cython ipykernel

Helpful virtual environment commands to know

  • To view a list of your virtual environments: conda env list
  • To activate a virtual environment: conda activate sklearndev
  • To deactivate a virtual environment: conda deactivate
  • To remove a virtual environment: conda env remove --name myenv

Activate virtual environment:

conda activate sklearndev

Additional installs

conda install -c conda-forge sphinx-gallery

Install a C/C++ compiler

On Linux or macOS
conda install -c conda-forge compilers
On Windows

Install Tools for Visual Studio from the menu at the bottom of this page:

https://visualstudio.microsoft.com/downloads/

You do not need to install the full Visual Studio IDE, just the "Tools".

PART B: Set-up repository

Fork repo: https://github.com/scikit-learn/scikit-learn

Set up local repo

git clone your forked repo url. (Use HTTPS url over SSH if you do not have ssh keys set up.)

git clone https://github.com/reshamas/scikit-learn.git

cd scikit-learn into your folder

cd scikit-learn

Build from source

pip install -e .

Note: this will overwrite existing installations Reference: "Editable" Installs

Add upstream remote

git remote add upstream https://github.com/scikit-learn/scikit-learn.git

Check remotes are there using git remote -v

my example

origin	https://github.com/reshamas/scikit-learn.git (fetch)
origin	https://github.com/reshamas/scikit-learn.git (push)
upstream	https://github.com/scikit-learn/scikit-learn.git (fetch)
upstream	https://github.com/scikit-learn/scikit-learn.git (push)

Update local repo

git pull upstream main