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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