Hi,
When I was trying to add test case for ML’s StandardScaler, I found
MLlib’s
StandardScaler’s output different from R with params（withMean false,
withScale true）
Because columns is divided by root-mean-square rather than standard
deviation in R, the scale function.
I’ m confused about Spark MLlib’s implementation.
AnyBody can give me a hand ? thx
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