{"action":"created","issue":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/1331","repository_url":"https://api.github.com/repos/nilearn/nilearn","labels_url":"https://api.github.com/repos/nilearn/nilearn/issues/1331/labels{/name}","comments_url":"https://api.github.com/repos/nilearn/nilearn/issues/1331/comments","events_url":"https://api.github.com/repos/nilearn/nilearn/issues/1331/events","html_url":"https://github.com/nilearn/nilearn/issues/1331","id":191050245,"number":1331,"title":"High Variance Confounds - add memory parameter","user":{"login":"ccvanschie","id":23120575,"avatar_url":"https://avatars.githubusercontent.com/u/23120575?v=3","gravatar_id":"","url":"https://api.github.com/users/ccvanschie","html_url":"https://github.com/ccvanschie","followers_url":"https://api.github.com/users/ccvanschie/followers","following_url":"https://api.github.com/users/ccvanschie/following{/other_user}","gists_url":"https://api.github.com/users/ccvanschie/gists{/gist_id}","starred_url":"https://api.github.com/users/ccvanschie/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ccvanschie/subscriptions","organizations_url":"https://api.github.com/users/ccvanschie/orgs","repos_url":"https://api.github.com/users/ccvanschie/repos","events_url":"https://api.github.com/users/ccvanschie/events{/privacy}","received_events_url":"https://api.github.com/users/ccvanschie/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-11-22T16:11:49Z","updated_at":"2016-11-22T17:02:42Z","closed_at":null,"body":"I think it would be practical for users when nilearn.image.high_variance_confounds has an option to assign a memory like in the niftilabelsmasker. \r\nOf course it is possible to use joblib but this may not be so easy or accessible for everyone and just like e.g. extracting timeseries, calculating high variance confounds can take some time."},"comment":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/comments/262299811","html_url":"https://github.com/nilearn/nilearn/issues/1331#issuecomment-262299811","issue_url":"https://api.github.com/repos/nilearn/nilearn/issues/1331","id":262299811,"user":{"login":"GaelVaroquaux","id":208217,"avatar_url":"https://avatars.githubusercontent.com/u/208217?v=3","gravatar_id":"","url":"https://api.github.com/users/GaelVaroquaux","html_url":"https://github.com/GaelVaroquaux","followers_url":"https://api.github.com/users/GaelVaroquaux/followers","following_url":"https://api.github.com/users/GaelVaroquaux/following{/other_user}","gists_url":"https://api.github.com/users/GaelVaroquaux/gists{/gist_id}","starred_url":"https://api.github.com/users/GaelVaroquaux/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GaelVaroquaux/subscriptions","organizations_url":"https://api.github.com/users/GaelVaroquaux/orgs","repos_url":"https://api.github.com/users/GaelVaroquaux/repos","events_url":"https://api.github.com/users/GaelVaroquaux/events{/privacy}","received_events_url":"https://api.github.com/users/GaelVaroquaux/received_events","type":"User","site_admin":false},"created_at":"2016-11-22T17:02:42Z","updated_at":"2016-11-22T17:02:42Z","body":"The high variance confound code that we have is more ment for advanced\nusers.\n\nI wonder however if it would not be good to add it, in some way, as an\noption to the maskers. In such situation, it would be easy to insert\nmemory on it.\n"}}
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