modelsight 0.1.0

Better insights into Machine Learning models performance

modelsight

Better insights into Machine Learning models performance

Installation

Create a conda environment

# Create a bootstrap env
conda create -p /tmp/bootstrap -c conda-forge mamba conda-lock poetry='1.*' python=3.10
conda activate /tmp/bootstrap

# Create Conda lock file(s) from environment.yml
conda-lock -k explicit --conda mamba
# Set up Poetry
poetry init --python=~3.10  # version spec should match the one from environment.yml

# Add conda-lock (and other packages, as needed) to pyproject.toml and poetry.lock
poetry add --lock conda-lock

# Remove the bootstrap env
conda deactivate
rm -rf /tmp/bootstrap

# Add Conda spec and lock files
git add environment.yml virtual-packages.yml conda-osx-arm64.lock
# Add Poetry spec and lock files
git add pyproject.toml poetry.lock
git commit

conda create --prefix ./envs/modelsight_env --file conda-osx-arm64.lock
conda activate ./envs/modelsight_env
poetry install

# Re-generate Conda lock file(s) based on environment.yml
conda-lock -k explicit --conda mamba
# Update Conda packages based on re-generated lock file
mamba update --file conda-osx-arm64.lock
# Update Poetry packages and re-generate poetry.lock
poetry update

$ pip install modelsight

Usage

• TODO

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

modelsight was created by Francesco Pisu. It is licensed under the terms of the GNU General Public License v3.0 license.

Credits

modelsight was created with cookiecutter and the py-pkgs-cookiecutter template.