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.
To build PyLBFGS, run python setup.py build_ext.
Installing
PyLBFGS is written in Cython and requires setuptools, NumPy, liblbfgs and a relatively recent Cython compiler to build (tested with 0.15.1).
Type:
python setup.py install
(optionally prefixed with sudo) to build and 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/
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