def multinomial(**kwargs): """ Load multinomial emotion model. Returns ------- BAYES : malaya.model.ml.BAYES class """ return softmax.multinomial(PATH_EMOTION, S3_PATH_EMOTION, 'emotion', label, **kwargs)
def multinomial(**kwargs): """ Load multinomial sentiment model. Returns ------- result : malaya.model.ml.BAYES class """ return softmax.multinomial(PATH_SENTIMENT, S3_PATH_SENTIMENT, 'sentiment', label, **kwargs)
def multinomial(**kwargs): """ Load multinomial NSFW model. Returns ------- result : malaya.model.ml.BAYES class """ return softmax.multinomial(PATH_NSFW, S3_PATH_NSFW, 'nsfw', label, **kwargs)
def multinomial(**kwargs): """ Load multinomial toxicity model. Returns ------- result : malaya.model.ml.MultilabelBayes class """ return softmax.multinomial(PATH_TOXIC, S3_PATH_TOXIC, 'toxicity', label, sigmoid=True, **kwargs)
def multinomial(**kwargs): """ Load multinomial subjectivity model. Parameters ---------- validate: bool, optional (default=True) if True, malaya will check model availability and download if not available. Returns ------- result : malaya.model.ml.BAYES class """ return softmax.multinomial(PATH_SUBJECTIVE, S3_PATH_SUBJECTIVE, 'subjective', label, **kwargs)