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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala
---
@@ -0,0 +1,292 @@
+/*
+ *
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--- Diff:
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Thank you for review and merging, @rxin , @gatorsmile , @cloud-fan !
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Github user srowen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/SparkConf.scala ---
@@ -262,7 +262,7 @@ class SparkConf(loadDefaults: Boolean) extends
Cloneable with Logging
Github user MLnick commented on the issue:
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Typically the estimator Params are copied to the model though. How do you
propose to set the handle invalid param in say a pipeline?
On Fri, 25 Nov 2016 at 18:38, Yanbo Liang
Github user rxin commented on the issue:
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Actually this can be nullable if input file name is not set, isn't it?
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Github user rxin commented on the issue:
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No it's not needed if you are using exactly the same way as the catch-all
to release memory. It is basically just the catch-all itself.
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Thanks - merging in master.
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Github user rxin commented on the issue:
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The main thing I'd add is to add comment explaining what version of Spark
would generate those table props.
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It doesn't really hurt my eyes, but I can see why it hurts yours. GitHub
doesn't even show the diff on all the files, and a large change like this is
really easy to miss something wrong (e.g. one
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Thank you, @hvanhovell ! I'll fix like that!
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cc @srowen, this PR finally resolves the issue and makes `sbt unidoc`
working fine with Java 8! Let me try to double check and leave some comments.
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[WIP][SPARK-3359][DOCS] Make javadoc8 working for unidoc/genjavadoc
compatibility in API Java documentation
## What changes were proposed in this pull request?
This PR make `sbt
Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala
---
@@ -0,0 +1,201 @@
+/*
+ *
Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,292 @@
+/*
+ *
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--- Diff:
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---
@@ -0,0 +1,292 @@
+/*
+ *
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--- Diff:
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---
@@ -0,0 +1,292 @@
+/*
+ *
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@@ -0,0 +1,292 @@
+/*
+ *
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@@ -0,0 +1,292 @@
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+ *
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@@ -0,0 +1,201 @@
+/*
+ *
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+/*
+ *
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@MLnick Your description is totally correct. However, the ```model``` you
used in your example is type of ```Bucketizer```. I will keep
```handleInvalid``` in ```Bucketizer```. In the current ML
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retest this please.
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--- Diff:
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@@ -74,6 +74,31 @@ private[spark] object
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--- Diff:
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--- Diff:
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@@ -356,10 +356,17 @@ case class
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/correlated.sql ---
@@ -0,0 +1,18 @@
+CREATE TEMPORARY VIEW t1 AS SELECT * FROM VALUES 1, 2 AS
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LGTM - merging to master/2.1. Thanks!
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--- Diff: python/pyspark/ml/feature.py ---
@@ -158,21 +158,28 @@ class Bucketizer(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable, Jav
Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/16011
I don't think this is correct. The idea is `QuantileDiscretizer` skips NaN
when creating the buckets, but there will still be an error thrown during
`transform` (rather than `fit`) if NaNs are in
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16012
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GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/16012
[SPARK-17251][SQL] Support `OuterReference` in projection list of a
correlated subquery
## What changes were proposed in this pull request?
Currently, correlated subqueries does not
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13775
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/15999
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