CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn
Project description
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.
License is MIT.
Documentation can be found here.
Changes
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.
Release history Release notifications | RSS feed
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