LBFGS and OWL-QN optimization algorithms
Project description
PyLBFGS
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.
Installing
Type:
pip install pylbfgs
Hacking
Type:
python setup.py build_ext -i
to build PyLBFGS in-place, i.e. without installing it.
To run the test suite, make sure you have Nose installed, and type:
nosetests tests/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
PyLBFGS-0.1.7.tar.gz
(81.2 kB
view hashes)
Built Distribution
PyLBFGS-0.1.7-py2.7-linux-x86_64.egg
(129.7 kB
view hashes)
Close
Hashes for PyLBFGS-0.1.7-py2.7-linux-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6115625a0781ec2465c48e1f1ea19259c628d917b4bde30f949712f764b6d880 |
|
MD5 | 5209b83fbf3eeb8059c4366512d8128a |
|
BLAKE2b-256 | 9196eadb6f0dd7159410df1139a824d9c02fa4c970754171db77d848e323856a |