Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37140409
--- Diff: docs/ml-guide.md ---
@@ -801,6 +801,146 @@ jsc.stop();
</div>
+## Examples: Summaries for LogisticRegression.
+
+Once
[`LogisticRegression`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegression)
+is run on data, it is useful to extract statistics such as the
+loss per iteration which will provide an intuition on overfitting and
metrics to understand
+how well the model has performed on training and test data.
+
+[`LogisticRegressionTrainingSummary`](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionTrainingSummary)
+provides an interface to access such relevant information. i.e the
objectiveHistory and metrics
+to evaluate the performance on the training data directly with very less
code to be rewritten by
+the user. In the future, a method would be made available in the fitted
--- End diff --
nit: I would just leave this part of the doc out in case we forget to
remove it when we do settle on a good name for `evaluate`.
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