Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/11601
By the way out of curiosity, I tested things out on a cluster (4x workers,
192 cores & 480GB RAM total), with 100 columns of 100 million doubles each, 1%
`NaN` occurrence. Reading from a Parquet file.
_not cached_
`fit` takes about 1.5 seconds per column (150 secs), while `transform`
takes 50 secs.
_cached_
`fit`: 15 sec; `transform`: 16 sec.
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