Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8197#discussion_r37095975
--- Diff: docs/ml-guide.md ---
@@ -801,6 +801,141 @@ jsc.stop();
</div>
+## Examples: Summaries for LogisticRegression.
+
+Once 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 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
LogisticRegressionModel to obtain
+a LogisticRegressionSummary of the test data as well.
+
+This examples illustrates the use of LogisticRegressionTrainingSummary on
some toyData.
--- End diff --
"toyData" -> "toy data"
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
