Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16775
I think we can solve this issue by tackling the codes in SQL. So close it
for now.
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Github user mallman commented on the issue:
https://github.com/apache/spark/pull/16775
@viirya I believe this PR meshes with the refactoring and application to
pregel GraphX algorithms in #15125. Basically, it moves the periodic
checkpointing code from mllib into core and uses it in
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16775
ping @mengxr @jkbradley @liancheng @MLnick May you take a look at this?
Thanks.
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16775
For the issue reported on mailing list, I found the root cause makes
significant difference between 1.6 and current branch. The fix is at #16785.
However, I think this patch is still useful.
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16775
`StringIndexer` and `OneHotEncoder` are just used as example here. The
concept is to have a pipeline with enough long stages.
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Github user DavidArenburg commented on the issue:
https://github.com/apache/spark/pull/16775
Wouldn't it better to Vectorize `StringIndexer` and `OneHotEncoder`? Like
for instance `.na.fill` or `.na.replace` operate over the whole data set at
once instead of running it in a loop? I
Github user AmplabJenkins commented on the issue:
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Github user viirya commented on the issue:
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retest this please.
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