Github user akaltsikis commented on the issue:
https://github.com/apache/spark/pull/16732
Hey guys i was implementing that as an external function in jar to work
with spark 2.1.1. Even if @uzadude improved performance of the 2.x
implementation by creating 2 seperate cases for sparse and dense matrices it
seems that the Blockmatrix.toCoordinateMatrix().toIndexedRowMatrix() still
works faster according to my recent benchmarks.I would suggest that we put that
in case of numberNonZeroPerRow<0.1 till the function for sparse matrices has
better performance that the double conversion.
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