Hi.
I am getting some strange issues, using sklearn functions that use multiple
jobs, when fitting a dense Matrix array.
First time I saw the problem was with GridSearchCV, but now seeing the same
with KMeans. The process just stays there, No Memory increase, no CPU
usage. Stuck.
The input data is a 600K by 200 dense matrix. The software is the latest
anaconda version. All was working fine with sparse data.
Any ideas ?
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