def train(self, filename):
data = self.load_data(filename)
m = MaxentModel()
m.begin_add_event()
for word, history in data:
features = self.generate_features(word, history)
m.add_event(features, word)
m.end_add_event()
m.train()
self.model = m
def main():
m = MaxentModel()
data = load_data()
m.begin_add_event()
for vals, label in data:
features = extract_features(vals)
m.add_event(features, label)
m.end_add_event()
m.train()
print 'Trained'
test_instance = [6.7, 3.1, 5.6, 2.4]
test_features = extract_features(test_instance)
result = m.eval_all(test_features)
print 'Result'
print result
