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/
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-0.1.8.tar.gz
(82.4 kB
view hashes)
Built Distribution
PyLBFGS-0.1.8-py2.7-linux-x86_64.egg
(131.3 kB
view hashes)
Close
Hashes for PyLBFGS-0.1.8-py2.7-linux-x86_64.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 877acd163b8be345b4e7ea747c4cdff2dd78ceac984034a0e6f28f440935d18e |
|
| MD5 | 82f2b9493f36dec5bc66e39a9bb2eee0 |
|
| BLAKE2b-256 | 4ee236e505a46b329ba1180f322213dc513673f1fd2466caadead7905c8d9651 |
