https://github.com/ntucllab/libact
Tip revision: 60d55460678bdace16065ce5257eb2c0b1095631 authored by yangarbiter on 02 March 2017, 05:11:14 UTC
add test for multilabel quire
add test for multilabel quire
Tip revision: 60d5546
index.rst
.. libact documentation master file, created by
sphinx-quickstart on Sun Nov 1 23:21:58 2015.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
libact: Pool-based Active Learning in Python
============================================
`libact` is a python package designed to make active learning easier for
real-world users. The package not only implements several popular active
learning strategies, but also features the `active learning by
learning <http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai15albl.pdf>`_
meta-strategy that allows the machine to automatically *learn* the best strategy
on the fly. The package is designed for easy extension in terms of strategies,
models and labelers. In particular, `libact` models can be easily obtained by
interfacing with the models in `scikit-learn <http://scikit-learn.org/>`_.
-----------------
Table of Contents
-----------------
.. toctree::
:maxdepth: 2
overview.rst
examples/examples.rst
active_learning_by_learning.rst
cost_sensitive_multiclass.rst
dev_with_libact.rst
api_reference.rst
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`