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

Chapter 7
Analytics at Scale
y=height=0
try:
height = int(client_size.split(',')[1])
y = int(ad_position.split(',')[1])
except:
pass
if y < height:
return "1"
else:
return "0"
class Predictor(object):
def __init__(self,domain,is_big):
self.client = datastore.Client('sulvo-east')
self.ctr = 'ctr_' + domain
self.ip = "ip_" + domain
self.scores = "score_num_" + domain
self.probabilities = "probability_num_" + domain
if is_big:
self.is_big = "is_big_num_" + domain
self.scores_big = "score_big_num_" + domain
self.probabilities_big = "probability_big_
num_" + domain
self.gi = pygeoip.GeoIP('GeoIP.dat')
self.big = is_big
self.domain = domain
def get_hour(self,timestamp):
return dt.datetime.utcfromtimestamp(timestamp /
1e3).hour
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