nltk.classify.PositiveNaiveBayesClassifier.train¶
-
static
PositiveNaiveBayesClassifier.train(positive_featuresets, unlabeled_featuresets, positive_prob_prior=0.5, estimator=<class 'nltk.probability.ELEProbDist'>)[source]¶ Parameters: - positive_featuresets – A list of featuresets that are known as positive
examples (i.e., their label is
True). - unlabeled_featuresets – A list of featuresets whose label is unknown.
- positive_prob_prior – A prior estimate of the probability of the label
True(default 0.5).
- positive_featuresets – A list of featuresets that are known as positive
examples (i.e., their label is