Github user psuszyns commented on the pull request:
https://github.com/apache/spark/pull/12419#issuecomment-210616221
Well I wanted to add this option without braking/amending current API. In
my app I use it by first training the PCA with k = number of features and then
calling the method I added. But I agree that it would be nicer to have the
'variance retained' as the input parameter of the PCA. I'll add appropriate
setters to the 'ml' version and another constructor to the 'mllib' version, ok?
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