GitHub user holdenk opened a pull request:
https://github.com/apache/spark/pull/10298
[SPARK-12296][PYSPARK][MLLIB] Feature parity for pyspark mllib standard
scaler model
Some methods are missing, such as ways to access the std, mean, etc. This
PR is for feature parity for pyspark.mllib.feature.StandardScaler &
StandardScalerModel.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/holdenk/spark
SPARK-12296-feature-parity-pyspark-mllib-StandardScalerModel
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10298.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 #10298
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commit 712ac0a59af30e09fb43f914aa35225249f770c9
Author: Holden Karau <[email protected]>
Date: 2015-12-14T20:28:03Z
Add properties for getting the std and mean on the StandardScalerModel
commit de3591f810fd140487d535375f26b1e9335caf2a
Author: Holden Karau <[email protected]>
Date: 2015-12-14T20:32:31Z
add withStd and withMean so people can check what kind of scaling the model
was trained for
commit 8450e4628ce8bbd23f2cb6a72c2f62613b896c5e
Author: Holden Karau <[email protected]>
Date: 2015-12-14T20:59:20Z
Is targetted for 2.0.0
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