kids_scores[kids_group] = count_score(browsing_history, weights['kids'][kids_group])
flat_kids = [(l,v[0]) for l,v in kids_scores.iteritems()]
kids = max(flat_kids, key = operator.itemgetter(1))
### income
inc_scores = {}
for inc_group in weights['income']:
inc_scores[inc_group] = count_score(browsing_history, weights['income'][inc_group])
flat_inc = [(l,v[0]) for l,v in inc_scores.iteritems()]
inc = max(flat_inc, key= operator.itemgetter(1))
### ethnicity
eth_scores = {}
for eth_group in weights['race_US']:
eth_scores[eth_group] = count_score(browsing_history, weights['race_US'][eth_group])
flat_eth = [(l,v[0]) for l,v in eth_scores.iteritems()]
eth = max(flat_eth, key= operator.itemgetter(1))
####### save
file_io.saveToDropbox({
'gender' : gender,
'age' : age[0],
'education': edu[0],
'race' : eth[0],
'income' : inc[0],
'kids' : kids[0],
'createdAt': int(time.time()*1000)
}, 'test_res.json')
inc = max(flat_inc, key= operator.itemgetter(1))
### ethnicity
eth_scores = {}
for eth_group in weights['race_US']:
eth_scores[eth_group] = count_score(browsing_history, weights['race_US'][eth_group], etn_priors[eth_group])
flat_eth = [(l,v[0]) for l,v in eth_scores.iteritems()]
eth = max(flat_eth, key= operator.itemgetter(1))
####### save
file_io.saveToDropbox({
'gender' : gender,
'age' : age[0],
'education': edu[0],
'race' : eth[0],
'income' : inc[0],
'kids' : kids[0],
'createdAt': int(time.time()*1000)
}, 'test_res.json')
file_io.saveToDropbox({
'gender' : {'Male': male_score, 'Female': female_score},
'age' : age_scores,
'education': edu_scores,
'race' : eth_scores,
'income' : inc_scores,
'kids' : kids_scores,
'createdAt': int(time.time()*1000)
}, 'test_res_details.json')
