{"action":"created","issue":{"url":"https://api.github.com/repos/apache/spark/issues/10976","repository_url":"https://api.github.com/repos/apache/spark","labels_url":"https://api.github.com/repos/apache/spark/issues/10976/labels{/name}","comments_url":"https://api.github.com/repos/apache/spark/issues/10976/comments","events_url":"https://api.github.com/repos/apache/spark/issues/10976/events","html_url":"https://github.com/apache/spark/pull/10976","id":129674794,"number":10976,"title":"[SPARK-13097][ML] Binarizer allowing Double AND Vector input types","user":{"login":"seddonm1","id":3468624,"avatar_url":"https://avatars.githubusercontent.com/u/3468624?v=3","gravatar_id":"","url":"https://api.github.com/users/seddonm1","html_url":"https://github.com/seddonm1","followers_url":"https://api.github.com/users/seddonm1/followers","following_url":"https://api.github.com/users/seddonm1/following{/other_user}","gists_url":"https://api.github.com/users/seddonm1/gists{/gist_id}","starred_url":"https://api.github.com/users/seddonm1/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/seddonm1/subscriptions","organizations_url":"https://api.github.com/users/seddonm1/orgs","repos_url":"https://api.github.com/users/seddonm1/repos","events_url":"https://api.github.com/users/seddonm1/events{/privacy}","received_events_url":"https://api.github.com/users/seddonm1/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":15,"created_at":"2016-01-29T06:00:46Z","updated_at":"2016-02-14T09:54:01Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/10976","html_url":"https://github.com/apache/spark/pull/10976","diff_url":"https://github.com/apache/spark/pull/10976.diff","patch_url":"https://github.com/apache/spark/pull/10976.patch"},"body":"This enhancement extends the existing SparkML Binarizer [SPARK-5891] to allow Vector in addition to the existing Double input column type. \r\n\r\nA use case for this enhancement is for when a user wants to Binarize many similar feature columns at once using the same threshold value (for example a binary threshold applied to many pixels in an image).\r\n\r\nThis contribution is my original work and I license the work to the project under the project's open source license.\r\n\r\n@viirya @mengxr "},"comment":{"url":"https://api.github.com/repos/apache/spark/issues/comments/183864188","html_url":"https://github.com/apache/spark/pull/10976#issuecomment-183864188","issue_url":"https://api.github.com/repos/apache/spark/issues/10976","id":183864188,"user":{"login":"AmplabJenkins","id":4031291,"avatar_url":"https://avatars.githubusercontent.com/u/4031291?v=3","gravatar_id":"","url":"https://api.github.com/users/AmplabJenkins","html_url":"https://github.com/AmplabJenkins","followers_url":"https://api.github.com/users/AmplabJenkins/followers","following_url":"https://api.github.com/users/AmplabJenkins/following{/other_user}","gists_url":"https://api.github.com/users/AmplabJenkins/gists{/gist_id}","starred_url":"https://api.github.com/users/AmplabJenkins/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AmplabJenkins/subscriptions","organizations_url":"https://api.github.com/users/AmplabJenkins/orgs","repos_url":"https://api.github.com/users/AmplabJenkins/repos","events_url":"https://api.github.com/users/AmplabJenkins/events{/privacy}","received_events_url":"https://api.github.com/users/AmplabJenkins/received_events","type":"User","site_admin":false},"created_at":"2016-02-14T09:54:01Z","updated_at":"2016-02-14T09:54:01Z","body":"Test PASSed.\nRefer to this link for build results (access rights to CI server needed): \nhttps://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/51261/\nTest PASSed."}}