GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/12519
[SPARK-14478][ML][MLLIB] Doc that StandardScaler uses the corrected sample
std
## What changes were proposed in this pull request?
Currently, MLlib's StandardScaler scales columns using the corrected
standard deviation (sqrt of unbiased variance). This matches what R's scale
package does.
This PR documents this fact.
## How was this patch tested?
doc only
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark scaler-variance-doc
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12519.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 #12519
----
commit 9cb04571d02a99e3e26a71c9addbfd8aba13e6d6
Author: Joseph K. Bradley <[email protected]>
Date: 2016-04-20T06:00:21Z
Noted that StandardScaler uses the corrected sample std, not the unbiased
std
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