'Classify a batch of samples.
:param featuresets: An iterable over featuresets, each a dict mapping
strings to either numbers, booleans or strings.
:return: The predicted class label for each input sample.
:rtype: list'

def classify_many(self, featuresets):

    X = self._vectorizer.transform(featuresets)
    classes = self._encoder.classes_
    return [classes[i] for i in self._clf.predict(X)]
