def create_model(self, setis):
l = []
for seti_input in setis:
feature_vector = seti.create_feature_vector(
self.fs,
self.model_config.cols_cfg.get_cols_for_memorizing(), seti_input)
seti_model_key = seti.standard_repr(feature_vector)
l.append((seti_model_key, seti_input.label))
return l
def get_memorized_price(self, seti_input):
features = seti.create_feature_vector(
self.fs, self.get_columns_for_memorization(),
seti_input)
key = seti.standard_repr(features)
#print 'Serving memorized key'
#print key
if key in self.memorized_prices:
return self.memorized_prices[key]
return None
