A minimal Python client for accessing MLS (Machine Learning Service) from OMI on-premises environments
Project description
minimls
A minimal Python client for accessing MLS (Machine Learning Service) from OMI on-premises environments.
Overview
minimls provides a lightweight interface for OMI on-premises servers to communicate with the internal MLS service running on AWS. It abstracts REST API calls and/or AWS SDK interactions into a simple, consistent Python API.
Installation
pip install minimls
Usage
import minimls
print(minimls.__version__)
Development
Setup
# Clone the repository
git clone https://gitlab.cidp.io/mls/minimls.git
cd minimls
# Install with dev dependencies
pip install -e ".[dev]"
Running tests
pytest
Linting
ruff check .
mypy minimls/
Building and publishing
# Build
python -m build
# Upload to PyPI (test)
twine upload --repository testpypi dist/*
# Upload to PyPI
twine upload dist/*
License
MIT
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