LBFGS and OWL-QN optimization algorithms

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PyLBFGS

https://travis-ci.org/dedupeio/pylbfgs.svg?branch=master

This 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.

Installing

Type:

pip install pylbfgs

Hacking

Type:

pip install "pip>=10"
pip install -r requirements.txt
pip install -e .

To run the test suite:

pytest tests

Authors

PyLBFGS was written by Lars Buitinck.

Alexis Mignon submitted a patch for error handling.

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Release history Release notifications | RSS feed

0.2.0.16

This version

0.2.0.15

0.2.0.14

0.2.0.13

0.2.0.12

0.2.0.11

0.2.0.10

0.2.0.9

0.2.0.8

0.2.0.7

0.2.0.6

0.2.0.5

0.2.0.4

0.2.0.3

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0.1.13

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0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

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