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-0.1.4.tar.gz
(76.9 kB
view hashes)
Built Distribution
PyLBFGS-0.1.4-py2.7-linux-x86_64.egg
(124.5 kB
view hashes)
Close
Hashes for PyLBFGS-0.1.4-py2.7-linux-x86_64.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0b351ecb27d96fdee489d1b8195cb6815a64d297ff02c881294576a0e676178f |
|
| MD5 | fa1f46ac67faa845c8ea65e5de788b6e |
|
| BLAKE2b-256 | 29ffc6b25fb8d48945d70b8ed6410ba44b645f29d1c4c4256adc424f29c3aa69 |
