Python TwitterUser.bulk_update Exemples

Exemple #1

        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

Exemple #2

Fichier : graphlab_to_smarttypes.py Projet : greeness/SmartTypes

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
    
    
    
    
    

Exemple #3

Fichier : graphlab_to_smarttypes.py Projet : galabad/smarttypes

    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