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

Chapter 1
Introduction
if row is not None:
prob = prob + float(row['Probability'])
return pred, prob
def get_value(self, f, value):
if f == 'ip':
ip = str(ipaddress.IPv4Address(ipaddress.
ip_address(value)))
geo = self.gi.country_name_by_addr(ip)
pred1, prob1 = self.get_score('geo', geo)
res = self.db.frequency.find_one({"ip" : ip})
freq = 1
if res is not None:
freq = res['frequency']
pred2, prob2 = self.get_score('frequency',
str(freq))
return (pred1 + pred2), (prob1 + prob2)
if f == 'root':
s = self.ctr.select(self.ctr.c.root == value)
rs = s.execute()
row = rs.fetchone()
if row is not None:
ctr = row['ctr']
avv = row['avt']
avt = row['avv']
(pred1,prob1) = self.get_score
('ctr', ctr)
(pred2,prob2) = self.get_score
('avt', avt)
(pred3,prob3) = self.get_score
('avv', avv)
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