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[jvm-packages] XGBoost spark predictions not consistent between SparseVector and DenseVector #3634
I suspect that the DenseVector is not working correctly and the underlying issue is that
Below is a script to reproduce the issue and investigation about the
Yes, when setting this parameter then the predictions are the same.
But should this be handled somehow differently. I think now for many spark users the input DataFrame contains mix of sparse and dense vectors. For example the
Then when the default