def loadData(self):
self.alphabet = pickle.load(open(self.alphabet_file))
self.model = pickle.load(open(self.model_file))
self.args = pickle.load(open(self.args_file))
self.reverse_alphabet = {}
for token, index in self.alphabet.iteritems():
self.reverse_alphabet[index] = token
self.helper = MznRegression.from_args(self.args)
self.helper.reverse_alphabet = self.reverse_alphabet
def loadData(self):
self.alphabet = pickle.load(open(self.alphabet_file))
self.model = pickle.load(open(self.model_file))
self.args = pickle.load(open(self.args_file))
if not hasattr(self.model, "coef_"):
self.coef_vector = self.model.scores_
else:
self.coef_vector = self.model.coef_
# some classifiers provide one vector per class
if len(self.coef_vector) == 1:
self.coef_vector = self.coef_vector[0]
self.reverse_alphabet = {}
for token, index in self.alphabet.iteritems():
self.reverse_alphabet[index] = token
self.helper = MznRegression.from_args(self.args)
