{"action":"closed","issue":{"url":"https://api.github.com/repos/akash13singh/lstm_anomaly_thesis/issues/4","repository_url":"https://api.github.com/repos/akash13singh/lstm_anomaly_thesis","labels_url":"https://api.github.com/repos/akash13singh/lstm_anomaly_thesis/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/akash13singh/lstm_anomaly_thesis/issues/4/comments","events_url":"https://api.github.com/repos/akash13singh/lstm_anomaly_thesis/issues/4/events","html_url":"https://github.com/akash13singh/lstm_anomaly_thesis/issues/4","id":354199296,"node_id":"MDU6SXNzdWUzNTQxOTkyOTY=","number":4,"title":"LSTM on new Dataset","user":{"login":"vrr187","id":42208549,"node_id":"MDQ6VXNlcjQyMjA4NTQ5","avatar_url":"https://avatars2.githubusercontent.com/u/42208549?v=4","gravatar_id":"","url":"https://api.github.com/users/vrr187","html_url":"https://github.com/vrr187","followers_url":"https://api.github.com/users/vrr187/followers","following_url":"https://api.github.com/users/vrr187/following{/other_user}","gists_url":"https://api.github.com/users/vrr187/gists{/gist_id}","starred_url":"https://api.github.com/users/vrr187/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vrr187/subscriptions","organizations_url":"https://api.github.com/users/vrr187/orgs","repos_url":"https://api.github.com/users/vrr187/repos","events_url":"https://api.github.com/users/vrr187/events{/privacy}","received_events_url":"https://api.github.com/users/vrr187/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-08-27T06:44:52Z","updated_at":"2018-09-03T12:31:26Z","closed_at":"2018-09-03T12:31:26Z","author_association":"NONE","body":"Hello Akashm first of all thank you for sharing your work with us, amazing documentation!\r\nI'm trying to run the LSTM code for anomaly detection in my Dataset, but I'm not succeding... Could you give me a little help? My problem is that I dont know how to upload my own data.\r\nI'm a new Python user...\r\n\r\nThanks in advance!"}}
{"actor":{"display_login":"vrr187"}}