Github user AnthonyTruchet commented on the issue:
https://github.com/apache/spark/pull/16038
Yes sure the zero Vector is very sparse. Bu ti do not get your suggestion ?
I see no way to pass a Sparse Vector as zero and get the type of vector to
change underway to Dense Vector with only operations on Sparse vectors.
What do you propose ? We do want to accumulate the Sparse Vector built from
each datapoint into a Dense Vector. And because the type of the zero is the
type of the return then we need to use a Dense vector as the zero, doesn't it ?
You might have seen a way out of this I haven't, have you ?
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