#!/usr/bin/env python from evaluation_perplexity_one_user import evaluation_perplexity_one_user as epou print epou(4)
sys.path.insert(0, "/home/dehajjik/workspace/src/utils")
from evaluation_perplexity_one_user import evaluation_perplexity_one_user as epou
from logs_file_writer import LogsFileWriter
from matrix_data_utils import *
file_name = "evaluation_perplexity"
#contains the scores of the different predictors combined for all the users
mixed_evaluations = {}
#contains the scores details of the different predictors for each user
detailed_evaluations = {}
iter = 0
for user_id in MDataExtractor.users_ids_list():
print("user " + str(user_id) + " on working")
evaluations = epou(user_id)
if len(detailed_evaluations.keys()) == 0:
#instantiate the evaluations objects add the classifier names for detailed_evaluations and detailed_evaluations
for classifier_name, evaluation_results in evaluations.iteritems():
mixed_evaluations[classifier_name] = {"average perplexity": 0}
detailed_evaluations[classifier_name] = {}
#integrate the evaluations of the current users
for classifier_name, perplexity in evaluations.iteritems():
mixed_evaluations[classifier_name]["average perplexity"] = (
(mixed_evaluations[classifier_name]["average perplexity"] * iter) +
perplexity) / ((iter + 1) * 1.0)
#update the detailed evaluations
detailed_evaluations[classifier_name]["user " + str(user_id)] = {