{"action":"created","issue":{"url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/15","repository_url":"https://api.github.com/repos/RUG-IDS/Assignments","labels_url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/15/comments","events_url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/15/events","html_url":"https://github.com/RUG-IDS/Assignments/issues/15","id":194322702,"number":15,"title":"Data Size - Assignment 4/Task 1","user":{"login":"timonback","id":7568775,"avatar_url":"https://avatars.githubusercontent.com/u/7568775?v=3","gravatar_id":"","url":"https://api.github.com/users/timonback","html_url":"https://github.com/timonback","followers_url":"https://api.github.com/users/timonback/followers","following_url":"https://api.github.com/users/timonback/following{/other_user}","gists_url":"https://api.github.com/users/timonback/gists{/gist_id}","starred_url":"https://api.github.com/users/timonback/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/timonback/subscriptions","organizations_url":"https://api.github.com/users/timonback/orgs","repos_url":"https://api.github.com/users/timonback/repos","events_url":"https://api.github.com/users/timonback/events{/privacy}","received_events_url":"https://api.github.com/users/timonback/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2016-12-08T12:23:53Z","updated_at":"2016-12-10T21:13:58Z","closed_at":null,"body":"During the first part of the assignment we run into great trouble with working on the data itself.\r\n\r\nWe splitted the table to only two columns, which reduced the data, but it still was too much to process.\r\nWe are using pythons Apriori libary for calculating the arules, however we had no result after ~15min with continous 6GB (out of my 8GB) of memory - and it would like to have more... We are using the movie dataset at the moment.\r\n\r\nIs there another approach to reduce the data, or is the choice to start out with python was not a feasible choice?"},"comment":{"url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/comments/266240640","html_url":"https://github.com/RUG-IDS/Assignments/issues/15#issuecomment-266240640","issue_url":"https://api.github.com/repos/RUG-IDS/Assignments/issues/15","id":266240640,"user":{"login":"tmnvanderberg","id":3397413,"avatar_url":"https://avatars.githubusercontent.com/u/3397413?v=3","gravatar_id":"","url":"https://api.github.com/users/tmnvanderberg","html_url":"https://github.com/tmnvanderberg","followers_url":"https://api.github.com/users/tmnvanderberg/followers","following_url":"https://api.github.com/users/tmnvanderberg/following{/other_user}","gists_url":"https://api.github.com/users/tmnvanderberg/gists{/gist_id}","starred_url":"https://api.github.com/users/tmnvanderberg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tmnvanderberg/subscriptions","organizations_url":"https://api.github.com/users/tmnvanderberg/orgs","repos_url":"https://api.github.com/users/tmnvanderberg/repos","events_url":"https://api.github.com/users/tmnvanderberg/events{/privacy}","received_events_url":"https://api.github.com/users/tmnvanderberg/received_events","type":"User","site_admin":false},"created_at":"2016-12-10T21:13:58Z","updated_at":"2016-12-10T21:13:58Z","body":"We are using the 360k small.fm dataset, @mircealungu.  We tried two parameter combinations: 0.17, 0.68 and 0.90, 0.95. We also tried to modify apriori.py to decrease the depth to 1, but to no avail. In each case I left it running for eat least 20 minutes."}}
{"actor":{"display_login":"tmnvanderberg"}}