{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/30955674","id":30955674,"diff_hunk":"@@ -363,4 +370,34 @@ class LogisticRegressionWithLBFGS\n       new LogisticRegressionModel(weights, intercept, numFeatures, numOfLinearPredictor + 1)\n     }\n   }\n+\n+  /**\n+   * Run the algorithm with the configured parameters on an input RDD\n+   * of LabeledPoint entries starting from the initial weights provided.\n+   * If a known updater is used calls the ml implementation, to avoid\n+   * applying a regularization penalty to the intercept, otherwise\n+   * defaults to the mllib implementation. If more than two classes\n+   * or feature scaling is disabled, always uses mllib implementation.\n+   */\n+  override def run(input: RDD[LabeledPoint], initialWeights: Vector): LogisticRegressionModel = {\n+    // ml's Logisitic regression only supports binary classifcation currently.\n+    if (numOfLinearPredictor == 1 && useFeatureScaling) {\n+      def runWithMlLogisitcRegression(elasticNetParam: Double) = {","path":"mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala","position":46,"original_position":46,"commit_id":"e8e03a13ba04c6b3100e290a5c435959c2f01912","original_commit_id":"e8e03a13ba04c6b3100e290a5c435959c2f01912","user":{"login":"dbtsai","id":1134574,"avatar_url":"https://avatars.githubusercontent.com/u/1134574?v=3","gravatar_id":"","url":"https://api.github.com/users/dbtsai","html_url":"https://github.com/dbtsai","followers_url":"https://api.github.com/users/dbtsai/followers","following_url":"https://api.github.com/users/dbtsai/following{/other_user}","gists_url":"https://api.github.com/users/dbtsai/gists{/gist_id}","starred_url":"https://api.github.com/users/dbtsai/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dbtsai/subscriptions","organizations_url":"https://api.github.com/users/dbtsai/orgs","repos_url":"https://api.github.com/users/dbtsai/repos","events_url":"https://api.github.com/users/dbtsai/events{/privacy}","received_events_url":"https://api.github.com/users/dbtsai/received_events","type":"User","site_admin":false},"body":"How about?\r\n```\r\n    val sqlContext = new SQLContext(input.context)\r\n    import sqlContext.implicits._\r\n    val lor = new org.apache.spark.ml.classification.LogisticRegression()\r\n    lor.fit(input.toDF())\r\n```","created_at":"2015-05-24T20:39:48Z","updated_at":"2015-05-24T20:39:48Z","html_url":"https://github.com/apache/spark/pull/6386#discussion_r30955674","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/6386","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/30955674"},"html":{"href":"https://github.com/apache/spark/pull/6386#discussion_r30955674"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/6386"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/6386","id":36099614,"html_url":"https://github.com/apache/spark/pull/6386","diff_url":"https://github.com/apache/spark/pull/6386.diff","patch_url":"https://github.com/apache/spark/pull/6386.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/6386","number":6386,"state":"open","locked":false,"title":"[Spark-7780][MLLIB] Intercept in logisticregressionwith lbfgs should not be 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