oll 0.1.2

Online machine learning algorithms library (wrapper for OLL C++ library)

oll-python

This is a Python binding of the OLL library for machine learning.

Currently, OLL 0.03 supports following algorithms:

• Perceptron

• Averaged Perceptron

• Passive Agressive (PA, PA-I, PA-II)

• ALMA (modified slightly from original)

• Confidence Weighted Linear-Classification.

For details of oll, see: http://code.google.com/p/oll

Installation

$ pip install oll

OLL library is bundled, so you don’t need to install it separately.

Usage

>>> import oll
>>> o = oll.oll("CW")
>>> o.add({0: 1.0, 1: 2.0, 2: -1.0}, 1)  # train
>>> o.classify({0:1.0, 1:1.0})  # predict
>>> o.save('oll.model')
>>> o.load('oll.model')

Note

• This module requires C++ compiler to build.

• oll.cpp & oll.hpp : Copyright (c) 2011, Daisuke Okanohara

• oll_swig_wrap.cxx is generated based on ‘oll_swig.i’ in oll-ruby (https://github.com/syou6162/oll-ruby)

License

New BSD License.

CHANGES

0.1.2 (2015-01-11)

• Support testFile method

• docstrings are available

0.1.1 (2014-03-29)

• Compatibility some compilers

0.1 (2013-10-11)

• Initial release.