{"library":"sklearn-crfsuite","type":"library","category":null,"description":"sklearn-crfsuite is a thin wrapper around the `python-crfsuite` library, providing an interface similar to scikit-learn. It enables the use of scikit-learn's model selection utilities (like cross-validation and hyperparameter optimization) with Conditional Random Field (CRF) models, and allows saving/loading models using joblib. The library is actively maintained, with its latest major release (0.5.0) in June 2024.","language":"python","status":"active","version":"0.5.0","tags":["machine-learning","crf","sequence-labeling","scikit-learn-compatible","nlp"],"install":[{"cmd":"pip install sklearn-crfsuite","imports":["from sklearn_crfsuite import CRF","from sklearn_crfsuite import metrics","from sklearn_crfsuite import scorers"]}],"homepage":null,"github":"https://github.com/TeamHG-Memex/sklearn-crfsuite","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sklearn-crfsuite/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":9.8,"avg_import_s":3.66,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sklearn-crfsuite/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}