{"action":"created","issue":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/1153","repository_url":"https://api.github.com/repos/nilearn/nilearn","labels_url":"https://api.github.com/repos/nilearn/nilearn/issues/1153/labels{/name}","comments_url":"https://api.github.com/repos/nilearn/nilearn/issues/1153/comments","events_url":"https://api.github.com/repos/nilearn/nilearn/issues/1153/events","html_url":"https://github.com/nilearn/nilearn/pull/1153","id":162143662,"number":1153,"title":"Discard diagonal in sym_to_vec and refactor scaling","user":{"login":"AlexandreAbraham","id":1647301,"avatar_url":"https://avatars.githubusercontent.com/u/1647301?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexandreAbraham","html_url":"https://github.com/AlexandreAbraham","followers_url":"https://api.github.com/users/AlexandreAbraham/followers","following_url":"https://api.github.com/users/AlexandreAbraham/following{/other_user}","gists_url":"https://api.github.com/users/AlexandreAbraham/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexandreAbraham/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexandreAbraham/subscriptions","organizations_url":"https://api.github.com/users/AlexandreAbraham/orgs","repos_url":"https://api.github.com/users/AlexandreAbraham/repos","events_url":"https://api.github.com/users/AlexandreAbraham/events{/privacy}","received_events_url":"https://api.github.com/users/AlexandreAbraham/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/nilearn/nilearn/labels/in%20progress","name":"in progress","color":"ededed"}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-06-24T13:12:30Z","updated_at":"2016-07-07T12:24:44Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/nilearn/nilearn/pulls/1153","html_url":"https://github.com/nilearn/nilearn/pull/1153","diff_url":"https://github.com/nilearn/nilearn/pull/1153.diff","patch_url":"https://github.com/nilearn/nilearn/pull/1153.patch"},"body":"Depending on the type of connectivity matrix extracted, keeping diagonal elements can be pertinent or not. I suggest to add a parameter to be able to discard them.\r\n\r\nOne problem is that it makes the multiplication of off-diagonal elements by sqrt(2) useless so I removed it. But I don't know what is the best option here."},"comment":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/comments/231062630","html_url":"https://github.com/nilearn/nilearn/pull/1153#issuecomment-231062630","issue_url":"https://api.github.com/repos/nilearn/nilearn/issues/1153","id":231062630,"user":{"login":"AlexandreAbraham","id":1647301,"avatar_url":"https://avatars.githubusercontent.com/u/1647301?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexandreAbraham","html_url":"https://github.com/AlexandreAbraham","followers_url":"https://api.github.com/users/AlexandreAbraham/followers","following_url":"https://api.github.com/users/AlexandreAbraham/following{/other_user}","gists_url":"https://api.github.com/users/AlexandreAbraham/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexandreAbraham/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexandreAbraham/subscriptions","organizations_url":"https://api.github.com/users/AlexandreAbraham/orgs","repos_url":"https://api.github.com/users/AlexandreAbraham/repos","events_url":"https://api.github.com/users/AlexandreAbraham/events{/privacy}","received_events_url":"https://api.github.com/users/AlexandreAbraham/received_events","type":"User","site_admin":false},"created_at":"2016-07-07T12:24:44Z","updated_at":"2016-07-07T12:24:44Z","body":"Ready for review. Appveyor crash is spurious."}}
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