Source code for asreview.models.classifiers.nb

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import logging

from sklearn.naive_bayes import MultinomialNB

from asreview.models.classifiers.base import BaseTrainClassifier


[docs]class NaiveBayesClassifier(BaseTrainClassifier): """Naive Bayes classifier Naive Bayes classifier. Only works in combination with the :class:`asreview.models.feature_extraction.Tfidf` feature extraction model. Though relatively simplistic, seems to work quite well on a wide range of datasets. The naive Bayes classifier is an implementation based on the sklearn multinomial naive Bayes classifier. Arguments --------- alpha : float, default=3.822 Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing). """ name = "nb" def __init__(self, alpha=3.822): super(NaiveBayesClassifier, self).__init__() self.alpha = alpha self._model = MultinomialNB(alpha=alpha) logging.debug(self._model)
[docs] def full_hyper_space(self): from hyperopt import hp hyper_choices = {} hyper_space = { "mdl_alpha": hp.lognormal("mdl_alpha", 0, 1), } return hyper_space, hyper_choices