[GitHub] spark issue #23146: [SPARK-26173] [MLlib] Prior regularization for Logistic ...
Github user elfausto commented on the issue: https://github.com/apache/spark/pull/23146 Thanks for your review, @srowen. I added a link to the PR's description and the JIRA ticket pointing to the reference Python implementation I used for unit testing. Prior regularization fits nicely with taking a Bayesian approach to Logistic Regression by posing a Gaussian prior and taking a Laplace approximation to the posterior. I'm not sure about approaching other regularized models in the same fashion. As a reference, besides this being a textbook algorithm, the original motivation for its implementation at [Affectv](https://affectv.com/), was the following paper showing its application to display advertising: _Olivier Chapelle , Eren Manavoglu , Romer Rosales, Simple and Scalable Response Prediction for Display Advertising, ACM Transactions on Intelligent Systems and Technology (TIST), v.5 n.4, January 2015_. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23146: [SPARK-26173] [MLlib] Prior regularization for Logistic ...
Github user elfausto commented on the issue: https://github.com/apache/spark/pull/23146 Thanks for your feedback @sujithjay. I expanded the description and Jira ticket with the requested details. Please let me know if anything is missing. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #23146: [SPARK-26173] [MLlib] Prior regularization for Lo...
GitHub user elfausto opened a pull request: https://github.com/apache/spark/pull/23146 [SPARK-26173] [MLlib] Prior regularization for Logistic Regression Implementation of [SPARK-26173](https://issues.apache.org/jira/browse/SPARK-26173). Unit tests have been added to the modified classes. You can merge this pull request into a Git repository by running: $ git pull https://github.com/affectv/spark SPARK-26173 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/23146.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #23146 commit d8c35bb897cc0e2248810bfc7208e642deb5c55d Author: Facundo Bellosi Date: 2018-11-26T15:31:26Z SPARK-26173. Prior regularization for Logistic Regression. commit 52918b7bd30f8fdccce450d7f41e34f8bedf32ad Author: Facundo Bellosi Date: 2018-11-26T15:50:11Z SPARK-26173. Prior regularization for Logistic Regression. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
