• linux-64 v0.2.0.5

conda install

To install this package run one of the following:
conda install riipl-org::pylbfgs

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PyLBFGS

.. image:: https://travis-ci.org/datamade/pylbfgs.svg?branch=master :target: https://travis-ci.org/datamade/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::

pip install -r requirements.txt
cython lbfgs/_lowlevel.pyx
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 pytest_ installed, and type::

pytest tests

Authors

PyLBFGS was written by Lars Buitinck.

Alexis Mignon submitted a patch for error handling.

.. _Cython: http://cython.org/

.. _liblbfgs: http://chokkan.org/software/liblbfgs/

.. _pytest: http://doc.pytest.org/en/latest/

.. _NumPy: http://numpy.scipy.org/

.. SciPy: http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fminlbfgsb.html

.. _setuptools: http://pypi.python.org/pypi/setuptools