coll-filter 1.2.3

Collaborative Filtering with multi-process parallelism.

Usage Sample ''''''''''''

.. code:: python

from cf import CollFilter

if __name__ == '__main__':
    data = read_data(train_path)
    data = pre_process(data)  # return [(user_id: Any, item_id: Any, float),]
    cf = CollFilter(data)

    ucf = cf.user_cf()  # return {user_id: [(item_id, score),],}
    icf = cf.item_cf()  # return {user_id: [(item_id, score),],}

    recommend = cf.recommend(user_id, recall_num=5) # return [(item_id, score),]
    recommends = cf.recommends(user_ids, recall_num=5) # return {user_id: [(item_id, score),],}

    cf.release()