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
0.3.2 (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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sklearn_crfsuite-0.3.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e088e9850bc2de891a051140cb39dd872324ae9047de0bebd7a57f82c71172b |
|
MD5 | cfc0f43eb1a05e24821c1aafff9f47c9 |
|
BLAKE2b-256 | d34cbfd49137bd6050a70e43069fc98c4fc0333101c701fba4c3c6f93d9589e4 |