class _Classifier:
def __init__(self, data):
# self._classifier = NaiveBayesClassifier(data)
self._classifier = MaxEntClassifier(data)
def update(self, data):
"""
data needs to be an iterable(list or tuple) of iterables
the inner iterable needs to be in the format of ('str', 'label')
"""
self._classifier.update(data)
def probability(self, text):
return self._classifier.prob_classify(text)
def labels(self):
return self._classifier.labels()
class _Classifier:
def __init__(self, data):
# self._classifier = NaiveBayesClassifier(data)
self._classifier = MaxEntClassifier(data)
def update(self, data):
"""
data needs to be an iterable(list or tuple) of iterables
the inner iterable needs to be in the format of ('str', 'label')
"""
self._classifier.update(data)
def probability(self, text):
return self._classifier.prob_classify(text)
def labels(self):
return self._classifier.labels()
