Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37336485
--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print("Weights: " + str(lrModel.weights))
print("Intercept: " + str(lrModel.intercept))
{% endhighlight %}
+</div>
</div>
+The `spark.ml` implementation of logistic regression also supports
+extracting a summary of the model over the training set. Note that the
+predictions and metrics which are stored as `Datafram`s in
+`BinaryLogisticRegressionSummary` are annoted `@transient` and hence
--- End diff --
Yep, you're right.
IMO the user guide is targeted at helping users use our library as fast as
possible. Hence, we should not include information that isn't relevant to
someone who just wants to use the library.
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