{"action":"opened","issue":{"url":"https://api.github.com/repos/tflearn/tflearn/issues/386","repository_url":"https://api.github.com/repos/tflearn/tflearn","labels_url":"https://api.github.com/repos/tflearn/tflearn/issues/386/labels{/name}","comments_url":"https://api.github.com/repos/tflearn/tflearn/issues/386/comments","events_url":"https://api.github.com/repos/tflearn/tflearn/issues/386/events","html_url":"https://github.com/tflearn/tflearn/issues/386","id":181991001,"number":386,"title":"How to avoid displaying \"zero\" accuracy values","user":{"login":"OlivierData","id":22744273,"avatar_url":"https://avatars.githubusercontent.com/u/22744273?v=3","gravatar_id":"","url":"https://api.github.com/users/OlivierData","html_url":"https://github.com/OlivierData","followers_url":"https://api.github.com/users/OlivierData/followers","following_url":"https://api.github.com/users/OlivierData/following{/other_user}","gists_url":"https://api.github.com/users/OlivierData/gists{/gist_id}","starred_url":"https://api.github.com/users/OlivierData/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/OlivierData/subscriptions","organizations_url":"https://api.github.com/users/OlivierData/orgs","repos_url":"https://api.github.com/users/OlivierData/repos","events_url":"https://api.github.com/users/OlivierData/events{/privacy}","received_events_url":"https://api.github.com/users/OlivierData/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-10T11:22:43Z","updated_at":"2016-10-10T11:22:43Z","closed_at":null,"body":"For instance, there is sometimes a problem computing correct Accuracy or Loss value like this : \r\n\r\nWall time,Step,Value\r\n1476095817.139799,101,0.5328580141067505\r\n1476095822.768647,202,0.528208315372467\r\n1476095828.310494,303,0.5269683599472046\r\n1476095833.724291,404,0.5378177165985107\r\n1476095839.298664,505,0.5402975678443909\r\n**1476095843.776616,606,0.0**\r\n1476095849.210967,707,0.551146924495697\r\n1476095854.313135,808,0.554246723651886\r\n\r\n![incorrect-accuracy-value-bad-display-tensorboard](https://cloud.githubusercontent.com/assets/22744273/19234424/ea764330-8eeb-11e6-8f09-a4eb459b0d4e.png)\r\n\r\nYou can see in Accuracy / Validation that this \"zero value\" has nothing to do here and should be ignored.\r\nIs there a simple way to avoid displaying zero accuracy values in TensorBoard or is is possible to avoid writing summary when accuracy or loss equals zero ?\r\n\r\nThanks"}}
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