Source code for asreview.models.nb

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import logging

from sklearn.naive_bayes import MultinomialNB

from asreview.models.base import BaseTrainModel


[docs]class NBModel(BaseTrainModel): "Naive Bayes SKLearn model." name = "nb" def __init__(self, alpha=3.822): """Initialize the SKLearn Naive Bayes model. Arguments: ---------- alpha: float Parameter to set the regularization strength of the model. """ super(NBModel, self).__init__() self.alpha = alpha self._model = MultinomialNB(alpha=alpha) logging.debug(self._model) 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