{"action":"opened","issue":{"url":"https://api.github.com/repos/linkedin/luminol/issues/51","repository_url":"https://api.github.com/repos/linkedin/luminol","labels_url":"https://api.github.com/repos/linkedin/luminol/issues/51/labels{/name}","comments_url":"https://api.github.com/repos/linkedin/luminol/issues/51/comments","events_url":"https://api.github.com/repos/linkedin/luminol/issues/51/events","html_url":"https://github.com/linkedin/luminol/issues/51","id":372481300,"node_id":"MDU6SXNzdWUzNzI0ODEzMDA=","number":51,"title":"0.0 Anomaly Score for larger dataSet-bitmap_detector","user":{"login":"prabhatmishra33","id":8476710,"node_id":"MDQ6VXNlcjg0NzY3MTA=","avatar_url":"https://avatars1.githubusercontent.com/u/8476710?v=4","gravatar_id":"","url":"https://api.github.com/users/prabhatmishra33","html_url":"https://github.com/prabhatmishra33","followers_url":"https://api.github.com/users/prabhatmishra33/followers","following_url":"https://api.github.com/users/prabhatmishra33/following{/other_user}","gists_url":"https://api.github.com/users/prabhatmishra33/gists{/gist_id}","starred_url":"https://api.github.com/users/prabhatmishra33/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/prabhatmishra33/subscriptions","organizations_url":"https://api.github.com/users/prabhatmishra33/orgs","repos_url":"https://api.github.com/users/prabhatmishra33/repos","events_url":"https://api.github.com/users/prabhatmishra33/events{/privacy}","received_events_url":"https://api.github.com/users/prabhatmishra33/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-22T11:22:59Z","updated_at":"2018-10-22T11:22:59Z","closed_at":null,"author_association":"NONE","body":"Dear Team,\r\n            I am using luminol for the larger dataset which has almost 25k rows and the issue is by using algorithm as \"bitmap_detector\" ,the anomaly score for the initial 200 values and the last 200 values remains as \"0.0\" even if there is some difference within the input values .\r\n            If we try to pass only those 200 values we receive some anomaly scores. please respond asap.\r\n\r\nThanks,\r\nPrabhat"}}
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