[mlpack-git] [mlpack/mlpack] RandomizedSVD tests sometimes have failing LU decomposition (#783)

Ryan Curtin notifications at github.com
Wed Sep 14 10:10:20 EDT 2016

Yeah, that's a definite possibility.  I tried removing the call to center the data, but that just causes the test to fail every time.  I wonder, if we modify the smallest singular value in the `centeredData` matrix and then reconstruct it, could this work?  I am not familiar enough with the algorithm to know what its assumptions are on the input matrix though.

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