membership_scores.append((A[i][j] * A[j][i], j)) group_adjacency.append(membership_scores) index_to_twitter_id_dict = pickle.load(open('index_to_twitter_id.pickle', 'r')) user_group_map = {} TwitterGroup.bulk_delete('all') for i in range(num_features): membership_scores = [] for j in range(num_items): user_id = index_to_twitter_id_dict[j] follower_score = users_data[i][j] following_score = items_data[i][j] membership_score = following_score * following_score if membership_score > .001: membership_scores.append((membership_score, user_id)) if user_id not in user_group_map: user_group_map[user_id] = [(membership_score, i)] else: user_group_map[user_id].append((membership_score, i)) TwitterGroup.upsert_group(i, membership_scores, group_adjacency[i]) print "Done creating groups." TwitterUser.bulk_update('all', {'scores_groups': None}) i = 0 for user_id, scores_groups in user_group_map.items(): twitter_user = TwitterUser.get_by_id(user_id) twitter_user.scores_groups = scores_groups twitter_user.save() if i % 1000 == 0: print "Done with %s users." % i i += 1
TwitterGroup.bulk_delete('all') for i in range(num_features): membership_scores = [] for j in range(num_items): user_id = index_to_twitter_id_dict[j] follower_score = users_data[i][j] following_score = items_data[i][j] membership_score = following_score * following_score if membership_score > .001: membership_scores.append((membership_score, user_id)) if user_id not in user_group_map: user_group_map[user_id] = [(membership_score, i)] else: user_group_map[user_id].append((membership_score, i)) TwitterGroup.upsert_group(i, membership_scores, group_adjacency[i]) print "Done creating groups." TwitterUser.bulk_update('all', {'scores_groups':None}) i = 0 for user_id, scores_groups in user_group_map.items(): twitter_user = TwitterUser.get_by_id(user_id) twitter_user.scores_groups = scores_groups twitter_user.save() if i % 1000 == 0: print "Done with %s users." % i i += 1
group_adjacency.append(membership_scores) index_to_twitter_id_dict = pickle.load(open("index_to_twitter_id.pickle", "r")) user_group_map = {} TwitterGroup.bulk_delete("all") for i in range(num_features): membership_scores = [] for j in range(num_items): user_id = index_to_twitter_id_dict[j] follower_score = users_data[i][j] following_score = items_data[i][j] membership_score = following_score * following_score if membership_score > 0.001: membership_scores.append((membership_score, user_id)) if user_id not in user_group_map: user_group_map[user_id] = [(membership_score, i)] else: user_group_map[user_id].append((membership_score, i)) TwitterGroup.upsert_group(i, membership_scores, group_adjacency[i]) print "Done creating groups." TwitterUser.bulk_update("all", {"scores_groups": None}) i = 0 for user_id, scores_groups in user_group_map.items(): twitter_user = TwitterUser.get_by_id(user_id) twitter_user.scores_groups = scores_groups twitter_user.save() if i % 1000 == 0: print "Done with %s users." % i i += 1