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October 3, 2018 14:34
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import numpy as np | |
predictions = [ | |
('company_a:user1', 'model_a', 0.5), | |
('company_a:user1', 'model_b', 0.6), | |
('company_a:user1', 'model_c', 0.3), | |
('company_a:user2', 'model_a', 0.33), | |
('company_a:user2', 'model_b', 0.27), | |
('company_a:user2', 'model_c', 0.75), | |
('company_b:user1', 'model_a', 0.36), | |
('company_b:user1', 'model_b', 0.67), | |
('company_b:user1', 'model_c', 0.84), | |
('company_b:user2', 'model_a', 0.35), | |
('company_b:user2', 'model_b', 0.56), | |
('company_b:user2', 'model_c', 0.54), | |
('company_b:user3', 'model_a', 0.32), | |
('company_b:user3', 'model_b', 0.51) | |
] | |
pageviews = [ | |
('company_a', 'user1', 'PAGE_TYPE_A'), | |
('company_a', 'user1', 'PAGE_TYPE_B'), | |
('company_a', 'user1', 'PAGE_TYPE_C'), | |
('company_a', 'user1', 'PAGE_TYPE_B'), | |
('company_a', 'user1', 'PAGE_TYPE_A'), | |
('company_a', 'user1', 'PAGE_TYPE_B'), | |
('company_a', 'user1', 'PAGE_TYPE_B'), | |
('company_a', 'user1', 'BUYSUCCESS'), | |
('company_a', 'user2', 'PAGE_TYPE_D'), | |
('company_a', 'user2', 'PAGE_TYPE_F'), | |
('company_a', 'user2', 'PAGE_TYPE_H'), | |
('company_a', 'user2', 'PAGE_TYPE_A'), | |
('company_a', 'user2', 'PAGE_TYPE_B'), | |
('company_a', 'user2', 'BUYSUCCESS'), | |
('company_a', 'user2', 'BUYSUCCESS'), | |
('company_a', 'user2', 'BUYSUCCESS'), | |
('company_b', 'user1', 'PAGE_TYPE_A'), | |
('company_b', 'user1', 'PAGE_TYPE_B'), | |
('company_b', 'user1', 'PAGE_TYPE_C'), | |
('company_b', 'user1', 'PAGE_TYPE_B'), | |
('company_b', 'user1', 'PAGE_TYPE_A'), | |
('company_b', 'user1', 'PAGE_TYPE_B'), | |
('company_b', 'user1', 'PAGE_TYPE_B'), | |
('company_b', 'user1', 'BUYSUCCESS'), | |
('company_b', 'user2', 'PAGE_TYPE_D'), | |
('company_b', 'user2', 'PAGE_TYPE_F'), | |
('company_b', 'user2', 'PAGE_TYPE_H'), | |
('company_b', 'user2', 'PAGE_TYPE_A'), | |
('company_b', 'user2', 'PAGE_TYPE_B'), | |
('company_b', 'user3', 'PAGE_TYPE_D'), | |
('company_b', 'user3', 'PAGE_TYPE_F'), | |
('company_b', 'user3', 'PAGE_TYPE_H'), | |
('company_b', 'user3', 'BUYSUCCESS'), | |
('company_b', 'user3', 'PAGE_TYPE_B') | |
] | |
companies = ['company_a', 'company_b', 'company_c'] | |
models = ['model_a', 'model_b', 'model_c'] | |
users = ['user1', 'user2', 'user3'] | |
print("company, model, segment, segment_users, really_bought") | |
for company in companies: | |
for model in models: | |
for segment in np.linspace(0, 1, 10, endpoint=False): | |
segment_users = 0 | |
really_bought = 0 | |
min_v = segment | |
max_v = segment + 0.1 | |
users = [] | |
for pred in predictions: | |
if pred[2] >= min_v and pred[2] < max_v and model == pred[1] and company == pred[0].split(':')[0]: | |
segment_users += 1 | |
users.append(pred[0].split(':')[1]) | |
really_bought = 0 | |
for user in users: | |
for pv in pageviews: | |
if company == pv[0] and user == pv[1] and pv[2] == 'BUYSUCCESS': | |
really_bought += 1 | |
if segment_users > 0: | |
print(f"{company}, {model}, {min_v:.1f}-{max_v:.1f}, " | |
f"{segment_users}, {really_bought}") |
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