[This is a mirrored package for PyLBFGS pacakge authored by Lars Buitinck, Forest Gregg at (https://github.com/dedupeio/pylbfgs.git) in order to make flexible local changes.]
The original package is a Python wrapper around Naoaki Okazaki (chokkan)'s liblbfgs library of quasi-Newton optimization routines (limited memory BFGS and OWL-QN).
This package aims to provide a cleaner interface to the LBFGS algorithm than is currently available in SciPy, and to provide the OWL-QN algorithm to Python users.
Part of the Dedupe.io cloud service and open source toolset for de-duplicating and finding fuzzy matches in your data.
Type:
pip install pylbfgs-mirror
Type:
pip install "pip>=10" pip install -r requirements.txt pip install -e .
To run the test suite:
pytest tests
PyLBFGS was written by Lars Buitinck.
Alexis Mignon submitted a patch for error handling.