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LGTM
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Yes - there are several tens of test sql that fails checkAnalysis, should
we update them all?
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We should also just check save / load is backward compatible with older
versions. It should be, but subtle things can sneak in so let's be careful
about that.
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[SPARK-17854][SQL] rand/randn allows null as input seed
## What changes were proposed in this pull request?
This PR proposes `rand`/`randn` accept `null` as input. In this case, it
tre
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala ---
@@ -446,6 +463,20 @@ private[ml] object DefaultParamsReader {
val cls = Ut
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala ---
@@ -300,15 +301,23 @@ private[ml] object DefaultParamsWriter {
paramMap:
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--- Diff:
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@@ -137,18 +143,64 @@ class KMeansSuite extends SparkFunSuite with
MLlibT
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
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override def transf
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@Since("1.5.0")
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with
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Move the new fix to #15431 which leverages ```RFormula forceIndexLabel```,
more succinct.
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GitHub user yanboliang opened a pull request:
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[SPARK-15153] [ML] [SparkR] Fix SparkR spark.naiveBayes error when label is
numeric type
## What changes were proposed in this pull request?
Fix SparkR ```spark.naiveBayes``` error when resp
Github user viirya commented on a diff in the pull request:
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Thanks! @rxin @cloud-fan @hvanhovell @gatorsmile
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Github user MLnick commented on the issue:
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I have a few high level questions on this:
Params
Why are we only setting` k` based on the `initialModel`? I had thought from
previous discussion above (it was a while ago now)
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--- Diff:
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Github user MLnick commented on the issue:
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I misread DB's meaning in my previous comment.
I agree that the parameter settings of `initialModel`, if set, should take
precedence. If it conflicts with an existing `k` then log a warning.
Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/13194
Resolved merge conflicts, ping @holdenk @MLnick @srowen @jkbradley to take
a look when you available. This is just add Python API and should be very
straight forward to move ahead. Thanks.
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[SPARK-15957][Follow-up][ML][PySpark] Add Python API for RFormula
forceIndexLabel.
## What changes were proposed in this pull request?
Follow-up work of #13675, add Python API for ```RFormul
Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/15072#discussion_r82743571
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -53,7 +53,15 @@ import org.apache.spark.util.Utils
private[sql] obje
Github user witgo commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/shuffle/ShuffleManager.scala
---
@@ -48,7 +48,8 @@ private[spark] trait ShuffleManager {
handle: Shuf
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -73,15 +78,27 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0"
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--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
@@ -687,18 +691,21 @@ private[spark] object MapOutputTracker extends
Logging {
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14847
@viirya can you try to create a new operator for this optimization and make
it work with whole-stage-codegen? thanks!
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Github user asfgit closed the pull request at:
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Github user witgo commented on a diff in the pull request:
https://github.com/apache/spark/pull/15297#discussion_r82742056
--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
@@ -138,13 +138,16 @@ private[spark] abstract class MapOutputTracker(conf:
SparkConf)
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/15388
thanks, merging to master!
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15428#discussion_r82741203
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala ---
@@ -270,10 +270,10 @@ private[ml] trait HasFitIntercept extends Params
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15428#discussion_r82741770
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -128,8 +145,9 @@ object Bucketizer extends
DefaultParamsReadable[Bucketize
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15428#discussion_r82741459
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -73,15 +78,27 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0")
o
Github user SparkQA commented on the issue:
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14847
This would really only be interesting if it works with whole stage code
gen; otherwise it is not really interesting.
In addition, it'd make sense to have an explicit operator for this, e.g.
St
GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/15429
[SPARK-17840] [DOCS] Add some pointers for wiki/CONTRIBUTING.md in
README.md and some warnings in PULL_REQUEST_TEMPLATE
## What changes were proposed in this pull request?
Link to contribut
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