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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-05-27 13:16:22 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2016-05-27 13:16:22 -0700 |
| commit | a3550e3747e21c79a5110132dc127ee83879062a (patch) | |
| tree | 23e2aed72732e30d4192c171dbd5aa3f5cb6fe02 /mllib-local | |
| parent | c96244f5acd8b335e34694c171bab32d92e6e0fb (diff) | |
| download | spark-a3550e3747e21c79a5110132dc127ee83879062a.tar.gz spark-a3550e3747e21c79a5110132dc127ee83879062a.tar.bz2 spark-a3550e3747e21c79a5110132dc127ee83879062a.zip | |
[SPARK-11959][SPARK-15484][DOC][ML] Document WLS and IRLS
## What changes were proposed in this pull request?
* Document ```WeightedLeastSquares```(normal equation) and ```IterativelyReweightedLeastSquares```.
* Copy ```L-BFGS``` documents from ```spark.mllib``` to ```spark.ml```.
Due to the session ```Optimization of linear methods``` is used for developers, I think we should provide the brief introduction of the optimization method, necessary references and how it implements in Spark. It's not necessary to paste all mathematical formula and derivation here. If developers/users want to learn more, they can track reference.
## How was this patch tested?
Document update, no tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #13262 from yanboliang/spark-15484.
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