Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 7
Analytics at Scale
else:
(pred1,prob1) = self.get_
score('ctr', str(ctr))
(pred2,prob2) = self.get_
score('avt', str(avt))
(pred3,prob3) = self.get_
score('avv', str(avv))
(pred4,prob4) = self.get_
score(f, value)
if self.big:
return (howbig1 + howbig2 +
howbig3 + howbig4), (pred1
+ pred2 + pred3 + pred4),
(prob1 + prob2 + prob3 +
prob4),(pred_big1 + pred_
big2 + pred_big3 + pred_
big4),(prob_big1 + prob_big2
+ prob_big3 + prob_big4)
else:
return (pred1 + pred2 + pred3
+ pred4), (prob1 + prob2 +
prob3 + prob4)
except:
return 0,0
if f == 'client_time':
value = str(self.get_hour(int(value)))
return self.get_score(f, value)
def get_multiplier(self):
key = self.client.key('multiplier_all_num',
self.domain)
res = self.client.get(key)
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