zhengruifeng edited a comment on issue #25829: [SPARK-29144][ML] Binarizer handle sparse vectors incorrectly with negative threshold URL: https://github.com/apache/spark/pull/25829#issuecomment-532655598 Just notice that existing ML algs deal with sparse dataset in a different way from scikit-learn： scikit-learn refuse to break the data sparsity, and will throw an exception; while ML will convert sparse vector to dense one. I will follow ML’s way and update this PR tomorrow
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