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

Chapter 1
Introduction
res = math.exp(pred)-1
if res < 0:
res = 0
prob = math.exp(prob)
if(prob <= .1):
prob = .1
if(prob >= .9):
prob = .9
multiplier = self.low + (self.high -self.low)*prob
pred = multiplier*pred
resp.body = str(pred)
cors = CORS(allow_all_origins=True,allow_all_
methods=True,allow_all_headers=True)
wsgi_app = api = falcon.API(middleware=[cors.middleware])
f = open('publishers1.list')
for domain in f:
domain = domain.strip()
p = Predictor(domain)
url = '/predict/' + domain
api.add_route(url, p)
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