{"action":"created","issue":{"url":"https://api.github.com/repos/pints-team/pints/issues/18","repository_url":"https://api.github.com/repos/pints-team/pints","labels_url":"https://api.github.com/repos/pints-team/pints/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/pints-team/pints/issues/18/comments","events_url":"https://api.github.com/repos/pints-team/pints/issues/18/events","html_url":"https://github.com/pints-team/pints/issues/18","id":245002554,"number":18,"title":"Add FFT-based score function","user":{"login":"MichaelClerx","id":517644,"avatar_url":"https://avatars1.githubusercontent.com/u/517644?v=4","gravatar_id":"","url":"https://api.github.com/users/MichaelClerx","html_url":"https://github.com/MichaelClerx","followers_url":"https://api.github.com/users/MichaelClerx/followers","following_url":"https://api.github.com/users/MichaelClerx/following{/other_user}","gists_url":"https://api.github.com/users/MichaelClerx/gists{/gist_id}","starred_url":"https://api.github.com/users/MichaelClerx/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MichaelClerx/subscriptions","organizations_url":"https://api.github.com/users/MichaelClerx/orgs","repos_url":"https://api.github.com/users/MichaelClerx/repos","events_url":"https://api.github.com/users/MichaelClerx/events{/privacy}","received_events_url":"https://api.github.com/users/MichaelClerx/received_events","type":"User","site_admin":false},"labels":[{"id":606297236,"url":"https://api.github.com/repos/pints-team/pints/labels/feature","name":"feature","color":"84b6eb","default":false}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2017-07-24T08:11:08Z","updated_at":"2018-02-12T14:25:25Z","closed_at":"2018-02-12T14:25:25Z","author_association":"OWNER","body":"Martin wrote:\r\n\r\n> [C]an you create an efficient score function that depends on the distance between experiment and model in the frequency domain, rather than time domain? I guess the score class can just take an FFT of the values when its created and re-use this?"},"comment":{"url":"https://api.github.com/repos/pints-team/pints/issues/comments/364937188","html_url":"https://github.com/pints-team/pints/issues/18#issuecomment-364937188","issue_url":"https://api.github.com/repos/pints-team/pints/issues/18","id":364937188,"user":{"login":"martinjrobins","id":1148404,"avatar_url":"https://avatars3.githubusercontent.com/u/1148404?v=4","gravatar_id":"","url":"https://api.github.com/users/martinjrobins","html_url":"https://github.com/martinjrobins","followers_url":"https://api.github.com/users/martinjrobins/followers","following_url":"https://api.github.com/users/martinjrobins/following{/other_user}","gists_url":"https://api.github.com/users/martinjrobins/gists{/gist_id}","starred_url":"https://api.github.com/users/martinjrobins/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/martinjrobins/subscriptions","organizations_url":"https://api.github.com/users/martinjrobins/orgs","repos_url":"https://api.github.com/users/martinjrobins/repos","events_url":"https://api.github.com/users/martinjrobins/events{/privacy}","received_events_url":"https://api.github.com/users/martinjrobins/received_events","type":"User","site_admin":false},"created_at":"2018-02-12T14:25:25Z","updated_at":"2018-02-12T14:25:25Z","author_association":"OWNER","body":"yea, this is specific to electrochem stuff"}}
{"actor":{"display_login":"martinjrobins"}}