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@tnachen I will add test
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--- Diff:
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@@ -0,0 +1,102 @@
+/*
+ * Licensed to the Apache Software Fo
Github user felixcheung commented on the issue:
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great thanks!
- we could say return a `vector of` in cases it makes sense
- `colnames<- does allow the subset assignment` - would be good to add
example and tests if we don't have it alre
Github user imatiach-msft commented on a diff in the pull request:
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Github user imatiach-msft commented on the issue:
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The changes look good to me. I just had a few minor comments. I wish we
could just natively implement the correlations in spark to avoid extra copying
between the old and new implementations
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--- Diff: docs/ml-collaborative-filtering.md ---
@@ -59,6 +59,34 @@ This approach is named "ALS-WR" and discussed in the
paper
It makes `regParam` less
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--- Diff: docs/ml-collaborative-filtering.md ---
@@ -59,6 +59,34 @@ This approach is named "ALS-WR" and discussed in the
paper
It makes `regParam` less
Github user MLnick commented on the issue:
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Ah ok, makes sense.
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@datumbox LGTM, thanks. Merged to master.
By the way - this is a tiny change and sometimes we don't bother, and if we
do it it can have a [MINOR] tag in the PR title. Having said that there's
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@HyukjinKwon Thanks. Updated title.
@felixcheung Updated doc and added tests. Thanks!
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Github user actuaryzhang commented on the issue:
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@srowen @felixcheung
Thanks for the clarification. I will open another PR to add real data
examples for the SparkDataFrame methods.
I have seen lots of R package document the meth
GitHub user markgrover opened a pull request:
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[SPARK-19734][PYTHON][ML] Correct OneHotEncoder doc string to say dropLast
## What changes were proposed in this pull request?
Updates the doc string to match up with the code
i.e. say dr
Github user mariusvniekerk commented on the issue:
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@holdenk done
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*/
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Looks fine to me - @sethah does the `lazy val` for gradient array impact
LoR & Linear regression aggregators too? Any others? Since this is a fairly
compact change, I think we can maybe go with your
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@datumbox once a PR is ok'ed to test from a committer, it should
automatically retest on each commit.
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Github user holdenk commented on the issue:
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Thanks for updating it @mariusvniekerk, it seems like the update is failing
Python style tests though could you take a look at that?
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@MLnick Cool did not know that. Just updated commit messages. I think I'm
good with this PR from my side.
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@MLnick Sounds good to me thanks. :)
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@sethah This is a nice optimization! Small suggestion -- For the shuffle
write performance improvement, would it be possible to test this on a larger
dataset to highlight the improvements and
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[SPARK-18352][DOCS] wholeFile JSON update doc and programming guide
## What changes were proposed in this pull request?
Update doc for R, programming. Clarify default behavior for all l
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*
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Github user imatiach-msft commented on the issue:
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@MLnick I checked LinearRegression.scala, LogisticRegression.scala, and
AFTSurvivalRegression.scala, and all of them already do this. Are there any
other aggregators with a similar code struc
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@actuaryzhang can you point me to an example you are thinking of?
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Github user felixcheung commented on the issue:
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yeah, looking at `columns` the example there isn't that great (in fact, the
example for all the sql functions are pretty simplistic)
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this merged to master
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Github user asfgit closed the pull request at:
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Github user markhamstra commented on the issue:
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"Current Spark's blacklist mechanism": please be more precise. The most
recent released version of Spark, 2.1.0, does not include a lot of recent
changes to blacklisting (mostly
https://github.
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Github user imatiach-msft commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/ChiSquare.scala ---
@@ -0,0 +1,81 @@
+/*
+ * Licensed to the Apache Software Foundation
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