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| author | Yanbo Liang <ybliang8@gmail.com> | 2015-09-11 08:50:35 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-09-11 08:50:35 -0700 |
| commit | b656e6134fc5cd27e1fe6b6ab30fd7633cab0b14 (patch) | |
| tree | 10d2d556a148adab585979cc387109588c6fda43 /mllib | |
| parent | c268ca4ddde2f5213b2e3985dcaaac5900aea71c (diff) | |
| download | spark-b656e6134fc5cd27e1fe6b6ab30fd7633cab0b14.tar.gz spark-b656e6134fc5cd27e1fe6b6ab30fd7633cab0b14.tar.bz2 spark-b656e6134fc5cd27e1fe6b6ab30fd7633cab0b14.zip | |
[SPARK-10026] [ML] [PySpark] Implement some common Params for regression in PySpark
LinearRegression and LogisticRegression lack of some Params for Python, and some Params are not shared classes which lead we need to write them for each class. These kinds of Params are list here:
```scala
HasElasticNetParam
HasFitIntercept
HasStandardization
HasThresholds
```
Here we implement them in shared params at Python side and make LinearRegression/LogisticRegression parameters peer with Scala one.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #8508 from yanboliang/spark-10026.
Diffstat (limited to 'mllib')
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