{"action":"closed","issue":{"url":"https://api.github.com/repos/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier/issues/12","repository_url":"https://api.github.com/repos/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier","labels_url":"https://api.github.com/repos/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier/issues/12/labels{/name}","comments_url":"https://api.github.com/repos/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier/issues/12/comments","events_url":"https://api.github.com/repos/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier/issues/12/events","html_url":"https://github.com/shackenberg/Minimal-Bag-of-Visual-Words-Image-Classifier/issues/12","id":146430174,"number":12,"title":"Obtain more than one result for classification","user":{"login":"Mario92V","id":17289765,"avatar_url":"https://avatars.githubusercontent.com/u/17289765?v=3","gravatar_id":"","url":"https://api.github.com/users/Mario92V","html_url":"https://github.com/Mario92V","followers_url":"https://api.github.com/users/Mario92V/followers","following_url":"https://api.github.com/users/Mario92V/following{/other_user}","gists_url":"https://api.github.com/users/Mario92V/gists{/gist_id}","starred_url":"https://api.github.com/users/Mario92V/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Mario92V/subscriptions","organizations_url":"https://api.github.com/users/Mario92V/orgs","repos_url":"https://api.github.com/users/Mario92V/repos","events_url":"https://api.github.com/users/Mario92V/events{/privacy}","received_events_url":"https://api.github.com/users/Mario92V/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2016-04-06T20:47:56Z","updated_at":"2016-06-16T23:58:03Z","closed_at":"2016-06-16T23:58:03Z","body":"Hello it's me again. Is there any way to get the three most likely classes with classify.py and the confidence measurement to each one of them. I don't know if the question is clear enough. Thank you for your time again."}}
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