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[SPARK-23672][PYTHON] Document support for nested return types in scalar
with arrow udfs
## What changes were proposed in this pull request?
Clarify docstring for Scalar functions
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[WIP][SPARK-11237][ML] Add pmml export for k-means in Spark ML
## What changes were proposed in this pull request?
Adding PMML export to Spark ML's KMeans Model.
## How was this pa
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Merging to 2.3. Thanks! Can you close?
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Thanks @HyukjinKwon ! I'll merge later today if no more comments.
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@mn-mikke Could you update the PR title?
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Merged concat and concat_arrays functions into one via an unresolved
expression and subsequent resolution. Do you have any objections to this
approach?
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[SPARK-23561][SS] Pull continuous processing out of WriteToDataSourceV2Exec.
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See bug update. Please close this PR.
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[SPARK-23795][[LAUNCHER] Make AbstractLauncher#self() protected
## What changes were proposed in this pull request?
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The class is `public a
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Partials (and callable objects) are supported in UDF but not `pandas_udf`;
kw args are not supported by either.
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Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/20900
Thank you @mstewart141 for looking into this.
@HyukjinKwon should we open Jira for supporting kw args and partial
functions in python UDFs? If I understand correctly, this is related to b
Github user sujith71955 commented on the issue:
https://github.com/apache/spark/pull/20611
@wzhfy @gatorsmile @jiangxb1987 due to some inconsistency in the previous
test report due to inconsistent hdfs file paths i had updated it, i added the
test results in one more section Test Re
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/20818
You made these `` tags. They need to be `` like you had
them before. Let's get this wrapped up; it should be an easy change
@guoxiaolongzte
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Github user Lemonjing commented on a diff in the pull request:
https://github.com/apache/spark/pull/20897#discussion_r177113075
--- Diff: docs/mllib-feature-extraction.md ---
@@ -278,8 +278,8 @@ for details on the API.
multiplication. In other words, it scales each column of th
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