spark-instrumented-optimizer/mllib
Xiangrui Meng b5ee7eefdb [SPARK-7748] [MLLIB] Graduate spark.ml from alpha
With descent coverage of feature transformers, algorithms, and model tuning support, it is time to graduate `spark.ml` from alpha. This PR changes all `AlphaComponent` annotations to either `DeveloperApi` or `Experimental`, depending on whether we expect a class/method to be used by end users (who use the pipeline API to assemble/tune their ML pipelines but not to create new pipeline components.) `UnaryTransformer` becomes a `DeveloperApi` in this PR.

jkbradley harsha2010

Author: Xiangrui Meng <meng@databricks.com>

Closes #6417 from mengxr/SPARK-7748 and squashes the following commits:

effbccd [Xiangrui Meng] organize imports
c15028e [Xiangrui Meng] added missing docs
1b2e5f8 [Xiangrui Meng] update package doc
73ca791 [Xiangrui Meng] alpha -> ex/dev for the rest
93819db [Xiangrui Meng] alpha -> ex/dev in ml.param
55ca073 [Xiangrui Meng] alpha -> ex/dev in ml.feature
83572f1 [Xiangrui Meng] add Experimental and DeveloperApi tags (wip)

(cherry picked from commit 836a75898f)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
2015-05-26 15:51:40 -07:00
..
src [SPARK-7748] [MLLIB] Graduate spark.ml from alpha 2015-05-26 15:51:40 -07:00
pom.xml Preparing development version 1.4.0-SNAPSHOT 2015-05-23 20:13:05 -07:00