{"action":"created","issue":{"url":"https://api.github.com/repos/apache/spark/issues/4306","labels_url":"https://api.github.com/repos/apache/spark/issues/4306/labels{/name}","comments_url":"https://api.github.com/repos/apache/spark/issues/4306/comments","events_url":"https://api.github.com/repos/apache/spark/issues/4306/events","html_url":"https://github.com/apache/spark/pull/4306","id":56210387,"number":4306,"title":"[SPARK-4979][MLLIB] Streaming logisitic regression","user":{"login":"freeman-lab","id":3387500,"avatar_url":"https://avatars.githubusercontent.com/u/3387500?v=3","gravatar_id":"","url":"https://api.github.com/users/freeman-lab","html_url":"https://github.com/freeman-lab","followers_url":"https://api.github.com/users/freeman-lab/followers","following_url":"https://api.github.com/users/freeman-lab/following{/other_user}","gists_url":"https://api.github.com/users/freeman-lab/gists{/gist_id}","starred_url":"https://api.github.com/users/freeman-lab/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/freeman-lab/subscriptions","organizations_url":"https://api.github.com/users/freeman-lab/orgs","repos_url":"https://api.github.com/users/freeman-lab/repos","events_url":"https://api.github.com/users/freeman-lab/events{/privacy}","received_events_url":"https://api.github.com/users/freeman-lab/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2015-02-02T08:56:49Z","updated_at":"2015-02-02T10:14:26Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/4306","html_url":"https://github.com/apache/spark/pull/4306","diff_url":"https://github.com/apache/spark/pull/4306.diff","patch_url":"https://github.com/apache/spark/pull/4306.patch"},"body":"This adds support for streaming logistic regression with stochastic gradient descent, in the same manner as the existing implementation of streaming linear regression. It is a relatively simple addition because most of the work is already done by the abstract class `StreamingLinearAlgorithm` and existing algorithms and models from MLlib.\r\n\r\nThe PR includes\r\n- Streaming Logistic Regression algorithm\r\n- Unit tests for accuracy, streaming convergence, and streaming prediction\r\n- An example use\r\n\r\ncc @mengxr @tdas "},"comment":{"url":"https://api.github.com/repos/apache/spark/issues/comments/72432824","html_url":"https://github.com/apache/spark/pull/4306#issuecomment-72432824","issue_url":"https://api.github.com/repos/apache/spark/issues/4306","id":72432824,"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":"2015-02-02T10:14:26Z","updated_at":"2015-02-02T10:14:26Z","body":"Test PASSed.\nRefer to this link for build results (access rights to CI server needed): \nhttps://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/26504/\nTest PASSed."}}