def result(item, threshold, mean):
"""Calculate a score given a threshold and population mean."""
if not threshold:
threshold = 1 # Prevent division by zero
value = item['rating']
weight = item['ratingcount']
res_index = item['res_index']
score_rated = weights.bayesian(weight, value, threshold, mean)
weight_score = .5
weight_res = .5
score_weighted = weight_score * score_rated + weight_res * res_index
item['score_rated'] = score_rated
item['score_weighted'] = score_weighted
return score_weighted, value, weight, item
def result(item, threshold, mean):
"""Calculate a score given a threshold and population mean."""
if not threshold:
threshold = 1 # Prevent division by zero
value = item['rating']
weight = item['ratingcount']
res_index = item['res_index']
score_rated = weights.bayesian(weight, value, threshold, mean)
weight_score = .5
weight_res = .5
score_weighted = weight_score * score_rated + weight_res * res_index
item['score_rated'] = score_rated
item['score_weighted'] = score_weighted
return score_weighted, value, weight, item