================
sklearn-crfsuite
================
.. image:: https://img.shields.io/pypi/v/sklearn-crfsuite.svg
:target: https://pypi.python.org/pypi/sklearn-crfsuite
:alt: PyPI Version
.. image:: https://img.shields.io/travis/TeamHG-Memex/sklearn-crfsuite/master.svg
:target: https://travis-ci.org/TeamHG-Memex/sklearn-crfsuite
:alt: Build Status
.. image:: https://codecov.io/github/TeamHG-Memex/sklearn-crfsuite/coverage.svg?branch=master
:target: https://codecov.io/github/TeamHG-Memex/sklearn-crfsuite?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/sklearn-crfsuite/badge/?version=latest
:target: https://sklearn-crfsuite.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
sklearn-crfsuite is a thin CRFsuite_ (python-crfsuite_) wrapper which provides
interface simlar to scikit-learn_. ``sklearn_crfsuite.CRF`` is a scikit-learn
compatible estimator: you can use e.g. scikit-learn model
selection utilities (cross-validation, hyperparameter optimization) with it,
or save/load CRF models using joblib_.
.. _CRFsuite: http://www.chokkan.org/software/crfsuite/
.. _python-crfsuite: https://github.com/scrapinghub/python-crfsuite
.. _scikit-learn: http://scikit-learn.org/
.. _joblib: https://github.com/joblib/joblib
License is MIT.
Documentation can be found `here <https://sklearn-crfsuite.readthedocs.io>`_.
Changes
=======
0.3.6 (2017-06-22)
------------------
* added ``sklearn_crfsuite.metrics.flat_recall_score``.
0.3.5 (2017-03-21)
------------------
* Properly close file descriptor in ``FileResource.cleanup``;
* declare Python 3.6 support, stop testing on Python 3.3.
0.3.4 (2016-11-17)
------------------
* Small formatting fixes.
0.3.3 (2016-03-15)
------------------
* scikit-learn dependency is now optional for sklearn_crfsuite;
it is required only when you use metrics and scorers;
* added ``metrics.flat_precision_score``.
0.3.2 (2015-12-18)
------------------
* Ignore more errors in ``FileResource.__del__``.
0.3.1 (2015-12-17)
------------------
* Ignore errors in ``FileResource.__del__``.
0.3 (2015-12-17)
----------------
* Added ``sklearn_crfsuite.metrics.sequence_accuracy_score()`` function and
related ``sklearn_crfsuite.scorers.sequence_accuracy``;
* ``FileResource.__del__`` method made more robust.
0.2 (2015-12-11)
----------------
* **backwards-incompatible**: ``crf.tagger`` attribute is renamed to
``crf.tagger_``; when model is not trained accessing this attribute
no longer raises an exception, its value is set to None instead.
* new CRF attributes available after training:
* ``classes_``
* ``size_``
* ``num_attributes_``
* ``attributes_``
* ``state_features_``
* ``transition_features_``
* Tutorial is added.
0.1 (2015-11-27)
----------------
Initial release.
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