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author | Xiangrui Meng <meng@databricks.com> | 2015-08-26 11:47:05 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2015-08-26 11:47:05 -0700 |
commit | 6519fd06cc8175c9182ef16cf8a37d7f255eb846 (patch) | |
tree | 7f03a2a8c7d0c8dca59de8e7ca79478bf6300f71 /dev/create-release | |
parent | bb1640529725c6c38103b95af004f8bd90eeee5c (diff) | |
download | spark-6519fd06cc8175c9182ef16cf8a37d7f255eb846.tar.gz spark-6519fd06cc8175c9182ef16cf8a37d7f255eb846.tar.bz2 spark-6519fd06cc8175c9182ef16cf8a37d7f255eb846.zip |
[SPARK-9665] [MLLIB] audit MLlib API annotations
I only found `ml.NaiveBayes` missing `Experimental` annotation. This PR doesn't cover Python APIs.
cc jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #8452 from mengxr/SPARK-9665.
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