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+/*
+ * Licensed to the
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@mengxr How do you think about the PMML export for Multinomial Naive Bayes?
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Github user JoshRosen commented on the pull request:
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Jenkins, retest this please.
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Github user zsxwing commented on the pull request:
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@andrewor14 could you help trigger Jenkins? Thanks. I think I don't have
the permission :(
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--- Diff: ec2/spark_ec2.py ---
@@ -591,11 +591,15 @@ def launch_cluster(conn, opts, cluster_name):
# AWS ignores the AMI-specified block
Github user andrewor14 commented on the pull request:
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that's odd, you should have permission. retest this please
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this is ok to test?
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Thanks - merging this.
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--- Diff: repl/scala-2.11/src/main/scala/org/apache/spark/repl/Main.scala
---
@@ -43,10 +39,20 @@ object Main extends Logging {
def main(args:
Github user andrewor14 commented on a diff in the pull request:
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--- Diff: core/src/test/scala/org/apache/spark/CheckpointSuite.scala ---
@@ -21,17 +21,222 @@ import java.io.File
import scala.reflect.ClassTag
Github user feynmanliang commented on a diff in the pull request:
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--- Diff: docs/ml-guide.md ---
@@ -40,6 +40,7 @@ Also, some algorithms have additional capabilities in the
`spark.ml` API; e.g.,
provide class
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--- Diff:
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---
@@ -395,8 +395,8 @@ class
Github user vanzin commented on the pull request:
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@andrewor14 yes, I was actually looking for that bug instead of filing a
new one, but couldn't find it. I'll update things.
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retest this please
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Github user BryanCutler commented on the pull request:
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Thanks for the response @mengxr. I tried setting the following:
`@volatile protected var model: StreamingKMeansModel = new
StreamingKMeansModel(null, null)`
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--- Diff:
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@@ -615,7 +615,11 @@ private[spark] class ExecutorAllocationManager(
Github user andrewor14 commented on the pull request:
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@maropu any updates? Did you have a chance to do the benchmarks?
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/9301#issuecomment-158147997
By the way, maybe this should be changed to 1.6.0 now. Then we need to
backport whatever fix we have here into the 1.5 branch.
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Github user andrewor14 commented on the pull request:
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Yes, @jayv would you mind opening this against the master branch? Then
committers will decide which branches to put in when we merge.
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--- Diff: core/src/test/scala/org/apache/spark/CheckpointSuite.scala ---
@@ -21,17 +21,222 @@ import java.io.File
import scala.reflect.ClassTag
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/9833#issuecomment-158153021
Merging this. Thanks.
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Github user andrewor14 commented on the pull request:
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@vanzin does this overlap with
https://issues.apache.org/jira/browse/SPARK-4134?
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--- Diff:
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@@ -240,4 +254,61 @@ class IsotonicRegressionModel private[ml] (
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Github user thunterdb commented on the pull request:
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@mengxr with the fixes, the top menu breaks before the side menu :-)
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Github user andrewor14 commented on the pull request:
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Looks fine. Just make the tests pass.
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Github user andrewor14 commented on the pull request:
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> if we call (1) after this line, it will release memory for other unrolled
failed block. if we call (2), we can't got the specific memory for that
MEMORY_AND_DISK
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Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/9722#discussion_r45381957
--- Diff: docs/ml-clustering.md ---
@@ -0,0 +1,31 @@
+---
+layout: global
+title: Clustering - ML
+displayTitle: ML - Clustering
+---
Github user thunterdb commented on a diff in the pull request:
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--- Diff: docs/_includes/nav-left-wrapper-ml.html ---
@@ -0,0 +1,6 @@
+
+ML
--- End diff --
sure
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--- Diff:
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@@ -0,0 +1,97 @@
+/*
+ * Licensed to the Apache Software
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--- Diff: core/src/test/scala/org/apache/spark/CheckpointSuite.scala ---
@@ -21,17 +21,222 @@ import java.io.File
import scala.reflect.ClassTag
Github user feynmanliang commented on the pull request:
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LGTM after changes
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--- Diff:
streaming/src/test/scala/org/apache/spark/streaming/rdd/TrackStateRDDSuite.scala
---
@@ -278,6 +287,50 @@ class TrackStateRDDSuite extends
Github user mengxr commented on a diff in the pull request:
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--- Diff:
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@@ -240,4 +254,61 @@ class IsotonicRegressionModel private[ml] (
Github user yhuai commented on the pull request:
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OK. I am merging it to master and branch 1.6.
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Github user andrewor14 commented on the pull request:
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@XuTingjun A more robust way to do this may be to keep track of
```
private val stageIdToRunningTaskIds = new mutable.HashMap[Int,
mutable.HashSet[Int]]
GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/9842
[SPARK-11858][SQL] Move sql.columnar into sql.execution.
In addition, tightened visibility of a lot of classes in the columnar
package from private[sql] to private[columnar].
You can merge this pull
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/8918#issuecomment-158172457
I still don't see why it's necessary to change the class path of the
client. If you're using Spark with HBase you should change the driver /
executor classpaths, not
Github user andrewor14 commented on the pull request:
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LGTM
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Github user feynmanliang commented on a diff in the pull request:
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--- Diff: docs/ml-clustering.md ---
@@ -0,0 +1,31 @@
+---
+layout: global
+title: Clustering - ML
+displayTitle: ML - Clustering
+---
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/9837#issuecomment-158154158
@woj-i please open the patch against the master branch instead. Committers
will backport it into branch-1.5 when they merge it.
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@tgravescs @harishreedharan
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Github user andrewor14 commented on the pull request:
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retest this please
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Github user zsxwing commented on the pull request:
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retest this please
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Github user dskrvk commented on the pull request:
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Jenkins, retest this please
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Github user mengxr commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -432,9 +432,9 @@ class Word2Vec extends Serializable with Logging {
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/9588#issuecomment-158190433
This kind of discussion should happen on JIRA. Briefly, temporary tables
are just pointers to a logical plan (similar to a view that is temporary to the
session).
Github user zsxwing commented on the pull request:
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LGTM
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Github user asfgit closed the pull request at:
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Should we do this in `SparkContext` as well?
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Github user gatorsmile commented on the pull request:
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Thank you everyone!
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -717,25 +717,30 @@ setMethod("collect",
# data of complex type can be held. But getting a cell
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GitHub user tedyu opened a pull request:
https://github.com/apache/spark/pull/9852
Prevent the call to SparkContext#stop() in the listener bus's thread
This is continuation of SPARK-11761
Andrew suggested adding this protection. See tail of
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