def train_from_human_classification(self, filename, language):
'Method for training current bayesian filter from external human classification file'
filehandler = open(filename, 'rb')
content = pickle.load(filehandler)
for entry_id in content:
e = Entry(entry_id, list(content[entry_id])[1], list(content[entry_id])[2])
if e.get_language() == language:
self._add_to_human_classification(e, list(content[entry_id])[0])
self.human.store()
self.word_dict.store()
def train_from_human_classification(self, filename, language):
'Method for training current bayesian filter from external human classification file'
filehandler = open(filename, 'rb')
content = pickle.load(filehandler)
for entry_id in content:
e = Entry(entry_id,
list(content[entry_id])[1],
list(content[entry_id])[2])
if e.get_language() == language:
self._add_to_human_classification(e,
list(content[entry_id])[0])
self.human.store()
self.word_dict.store()
