{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/37337556","id":37337556,"diff_hunk":"@@ -118,12 +133,114 @@ lrModel = lr.fit(training)\n print(\"Weights: \" + str(lrModel.weights))\n print(\"Intercept: \" + str(lrModel.intercept))\n {% endhighlight %}\n+</div>\n \n </div>\n \n+The `spark.ml` implementation of logistic regression also supports\n+extracting a summary of the model over the training set. Note that the\n+predictions and metrics which are stored as `Datafram`s in\n+`BinaryLogisticRegressionSummary` are annoted `@transient` and hence\n+only available on the driver.\n+\n+<div class=\"codetabs\">\n+\n+<div data-lang=\"scala\" markdown=\"1\">\n+\n+[`LogisticRegressionTrainingSummary`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegressionTrainingSummary)\n+provides a summary for a\n+[`LogisticRegressionModel`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegressionModel).\n+Currently, only binary classification is supported and the\n+summary must be explicitly cast to\n+[`BinaryLogisticRegressionTrainingSummary`](api/scala/index.html#org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummary).\n+This will likely change when multiclass classification is supported.","path":"docs/ml-linear-methods.md","position":99,"original_position":99,"commit_id":"83d229f2b675e0d2771c2be9eabe0b6597faa100","original_commit_id":"83d229f2b675e0d2771c2be9eabe0b6597faa100","user":{"login":"MechCoder","id":1867024,"avatar_url":"https://avatars.githubusercontent.com/u/1867024?v=3","gravatar_id":"","url":"https://api.github.com/users/MechCoder","html_url":"https://github.com/MechCoder","followers_url":"https://api.github.com/users/MechCoder/followers","following_url":"https://api.github.com/users/MechCoder/following{/other_user}","gists_url":"https://api.github.com/users/MechCoder/gists{/gist_id}","starred_url":"https://api.github.com/users/MechCoder/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MechCoder/subscriptions","organizations_url":"https://api.github.com/users/MechCoder/orgs","repos_url":"https://api.github.com/users/MechCoder/repos","events_url":"https://api.github.com/users/MechCoder/events{/privacy}","received_events_url":"https://api.github.com/users/MechCoder/received_events","type":"User","site_admin":false},"body":"I suggest we just remove this line. What say?","created_at":"2015-08-18T18:48:11Z","updated_at":"2015-08-18T18:48:11Z","html_url":"https://github.com/apache/spark/pull/8197#discussion_r37337556","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/8197","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/37337556"},"html":{"href":"https://github.com/apache/spark/pull/8197#discussion_r37337556"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/8197"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/8197","id":42446265,"html_url":"https://github.com/apache/spark/pull/8197","diff_url":"https://github.com/apache/spark/pull/8197.diff","patch_url":"https://github.com/apache/spark/pull/8197.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/8197","number":8197,"state":"open","locked":false,"title":"[SPARK-9906] [ML] User guide for 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