def get_price(l_config, form_info, use_memorized_only, for_test=False): ss = seti_server.make_from_config(l_config.model_configs) # Generate a price for the form. form = to_renter_form(form_info) print 'Form: ' print(form) #print 'Age: ' #print(form.get_age()) fe = feature_extractor.FeatureExtractor(for_test) seti = fe.to_seti(form) price = ss.score(seti, use_memorized_only) return price
def testLearn():
d = gen_offline_model.main(['gen_offline_model.py', 'regression_test'])
# Make sure that every SETI object that we generate, we have the exact price for
# when run back through the code.
l_config = d['l_config']
ss = seti_server.make_from_config(l_config.model_configs)
err = []
i = 0
for seti in d['setis']:
#print 'Row %d. Label: %.4ff' % (i, seti.label)
price = ss.score(seti)
assertFloatEquals(price, seti.label)
#err.append(i)
i += 1
#if i == 1000:
# break
print 'Num setis: %d' % i
print 'Num mismatched setis: %d' % len(err)
print 'Rows: %s' % (str(err))