Github user mrkm4ntr commented on the issue:
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@gatorsmile Thanks! I will close it.
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Github user gatorsmile commented on the issue:
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@mrkm4ntr Thank you for your contribution! The PR has been merged using
your Github account. Could you close this?
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Github user viirya commented on the issue:
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I think we can close this now.
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Github user gatorsmile commented on the issue:
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Submitted the PR https://github.com/apache/spark/pull/20630 to take this
over.
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Github user gatorsmile commented on the issue:
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To speedup the work here, I will take this over. All the contributions
should be given to @mrkm4ntr
Thanks for your work! @mrkm4ntr
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Github user jkbradley commented on the issue:
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I think this should block RC4 : ( For ML, it's really important that
MurmurHash3 behave consistently across platforms.
However, for ML, we'll need to maintain the old implementation of
M
Github user sameeragarwal commented on the issue:
https://github.com/apache/spark/pull/20568
@hvanhovell just to make sure, given the dependency on `FeatureHasher`,
should this block RC4?
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Github user hvanhovell commented on the issue:
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@mrkm4ntr this is legitimate failure. Can you fix the python tests?
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Github user kiszk commented on the issue:
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Jenkins, retest this please.
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Github user AmplabJenkins commented on the issue:
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Github user felixcheung 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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Github user ueshin commented on the issue:
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Github user kiszk commented on the issue:
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Retest this please
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Github user kiszk commented on the issue:
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@mrkm4ntr Do not worry about these failures. Since we know there are some
unstable tests, our community is trying to fix them. For a while, we have to
kick test.
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Github user mrkm4ntr commented on the issue:
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I cannot reproduce this failure of the test in my environment.
It seems to me that this is not related to this change...
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Github user kiszk commented on the issue:
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Retest this please
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Github user felixcheung commented on the issue:
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Jenkins, test this please
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Github user mrkm4ntr commented on the issue:
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@hvanhovell I added a method and changed it so that we call it only from
FeatureHasher.
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Github user mrkm4ntr commented on the issue:
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@hvanhovell I sent an e-mail to the topic `[VOTE] Spark 2.3.0 (RC3)`.
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Github user mrkm4ntr commented on the issue:
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I registered with the same user name in dev list.
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Github user hvanhovell commented on the issue:
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@mrkm4ntr I see your point. Adding a method to Murmur3 would work.
The problem is that we are now going to release a `FeatureHasher` in Spark
2.3 that uses the current Murmur3 implementat
Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/20568
How about add a new config to control whether to use the new Murmur3 hash
function and have that default turned off? We also have to document the change
explicitly. WDYT @gatorsmile @hvanhovell
Github user mrkm4ntr commented on the issue:
https://github.com/apache/spark/pull/20568
@hvanhovell The main motivation is making the online prediction of trained
parameters using FeatureHasher in MLLib. If the generated hash value is
different from the implementations in another lan
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/20568
@mrkm4ntr The change itself looks pretty reasonable. However I am very
hesitant to merge this because this will probably break bucketing (it uses
murmur3 to create the buckets); for example a buc
Github user mrkm4ntr commented on the issue:
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@kiszk Thank you for your review! I fixed it.
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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