GitHub user yanboliang opened a pull request: https://github.com/apache/spark/pull/13076
[SPARK-15292] [ML] ML 2.0 QA: Scala APIs audit for classification ## What changes were proposed in this pull request? Audit Scala API for classification, almost all issues were related MultilayerPerceptronClassifier. * Fix one wrong param getter/setter method: getOptimizer -> getSolver * Add missing setter for "solver" and "stepSize". * Make GD solver take effect. * Update docs, annotations and fix other minor issues. ## How was this patch tested? Existing unit tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/yanboliang/spark spark-15292 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/13076.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 #13076 ---- commit e9099076ec2ccc79dc14e731c70cff6cc68fe4ed Author: Yanbo Liang <yblia...@gmail.com> Date: 2016-05-12T10:05:45Z ML 2.0 QA: Scala APIs audit for classification ---- --- 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 infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org