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)
