Category : python-crfsuite

I try to implement CRF model to my NER application. I followed the tutorial in the official website from sklearn-crfsuite and generated the features using word2features function https://sklearn-crfsuite.readthedocs.io/en/latest/tutorial.html . However, when I tried to fit the model with X, y using crf.fit(X_train, y_train), I got the TypeError: C:ProgramDataAnaconda3libsite-packagessklearn_crfsuiteestimator.py in fit(self, X, y, X_dev, y_dev) 312 ..

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Hello I am trying to install Python-Crfsuite using pip install python-crfsuite but I am getting back ERROR: Command errored out with exit status 1: command: ‘c:usersnicholasappdatalocalprogramspythonpython39python.exe’ -u -c ‘import io, os, sys, setuptools, tokenize; sys.argv[0] = ‘"’"’C:UsersNicholasAppDataLocalTemppip-req-build-c0gbj09msetup.py’"’"’; __file__=’"’"’C:UsersNicholasAppDataLocalTemppip-req-build-c0gbj09msetup.py’"’"’;f = getattr(tokenize, ‘"’"’open’"’"’, open)(__file__) if os.path.exists(__file__) else io.StringIO(‘"’"’from setuptools import setup; setup()’"’"’);code = f.read().replace(‘"’"’rn’"’"’, ‘"’"’n’"’"’);f.close();exec(compile(code, __file__, ‘"’"’exec’"’"’))’ ..

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I am trying to obtain the confusion matrix from python CRFsuite. This my code: from sklearn.metrics import confusion_matrix confusion_matrix(y_val, pred_val, normalize=’true’, labels=lables) error: ValueError: You appear to be using a legacy multi-label data representation. Sequence of sequences are no longer supported; use a binary array or sparse matrix instead – the MultiLabelBinarizer transformer can convert ..

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