Github user shivaram commented on the pull request:
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Thanks @sun-rui I'll take a look at this today
cc @davies
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Github user mccheah commented on the pull request:
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Cool - and once again, trying the new commit would be appreciated.
Also @markgrover how do we want to resolve all of the duplicate work being
done here and in
Github user feynmanliang commented on a diff in the pull request:
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print(Weights: + str(lrModel.weights))
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--- Diff: docs/ml-features.md ---
@@ -649,6 +649,80 @@ for expanded in polyDF.select(polyFeatures).take(3):
/div
/div
+## Discrete
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Github user yhuai commented on the pull request:
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The reduce stage i has a 2-way join in it. The two map stages had 30 and 1
tasks, respectively. For the stage having 30 tasks, here is the screenshot of
task info
Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/8280#issuecomment-132328891
ah, sorry i missed the reducer stage's screenshot. Yes, executor 23 was the
one got all reduce tasks.
Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/8280#issuecomment-132331662
So my hypothesis right now is that the RDD in the reduce stage has two
Shuffle dependencies and the first shuffle dependency happens to be the single
map task stage --
Github user squito commented on the pull request:
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Jenkins, retest this please
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LGTM. Merged into master and branch-1.5. Thanks!
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Wow, it was quick! Thanks!
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--- Diff: docs/ml-features.md ---
@@ -1389,3 +1389,145 @@ print(output.select(features, clicked).first())
# Feature Selectors
+##
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--- Diff: docs/ml-features.md ---
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/div
/div
+## Discrete
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GitHub user mengxr opened a pull request:
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[SPARK-8918] [MLLIB] [DOC] Add @since tags to mllib.clustering
This continues the work from #8256. I removed `@since` tags from
private/protected/local methods/variables (see
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[SPARK-10090] [SQL] fix decimal scale of division
In TPCDS Q59, the result should be DecimalType(37, 20), but got
Decimal('0.69903637110664268591656984574863203607'), should be
Github user feynmanliang commented on a diff in the pull request:
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print(Weights: + str(lrModel.weights))
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print(Weights: + str(lrModel.weights))
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One more comment: need to add VectorSlicer to list ```__all__``` at top of
file
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+1
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--- Diff: core/src/main/scala/org/apache/spark/TaskEndReason.scala ---
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Thanks for pointing that out @holdenk ! I have pushed a change to the PR!
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--- Diff: docs/ml-decision-tree.md ---
@@ -0,0 +1,506 @@
+---
+layout: global
+title: Decision Trees - SparkML
+displayTitle: a
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
print(Weights: + str(lrModel.weights))
print(Intercept:
Github user feynmanliang commented on the pull request:
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LGTM
CC @mengxr
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Github user dmvieira commented on the pull request:
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I'm starting a third-party package as suggested by @srowen and I hope you
enjoy. Feel free to collaborate:
https://github.com/dmvieira/spark-twitter-stream-receiver
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found one directory on amp-jenkins-worker-01 that's polluted -- deleting it
now, and this should fix any builds that run there.
On Mon, Aug 17, 2015 at
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/8280#issuecomment-132345128
The diff I'm proposing is something like
```
+val numShuffleDeps =
rdd.dependencies.filter(_.isInstanceOf[ShuffleDependency[_, _, _]]).length
+
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8134#issuecomment-132347459
@tgravescs I chose a slightly different name than you suggested, how does
that sound?
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--- Diff:
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@@ -23,13 +23,29 @@ import org.apache.spark.executor.ExecutorExitCode
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@@ -809,9 +825,14 @@ private[spark] class TaskSetManager(
}
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Github user marmbrus commented on the pull request:
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Thanks! Merging to master and 1.5.
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Github user feynmanliang commented on the pull request:
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@yinxusen Sorry, I think there's some merge conflicts. Do you mind rebasing
master?
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--- Diff: docs/ml-features.md ---
@@ -1389,3 +1389,145 @@ print(output.select(features, clicked).first())
# Feature Selectors
+##
Github user andrewor14 commented on the pull request:
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LGTM
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--- Diff: docs/ml-linear-methods.md ---
@@ -118,12 +133,114 @@ lrModel = lr.fit(training)
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Merged to master and 1.5
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/8286
[SPARK-10095] [SQL] use public API of BigInteger
In UnsafeRow, we use the private field of BigInteger for better
performance, but it actually didn't contribute much (3% in one benchmark) to
Github user vanzin commented on a diff in the pull request:
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--- Diff:
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@@ -91,6 +92,51 @@ private[spark] abstract class
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--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -207,6 +211,17 @@ private[yarn] class YarnAllocator(
}
Github user markgrover commented on the pull request:
https://github.com/apache/spark/pull/8007#issuecomment-132367263
Actually @markgrover can you describe in more detail how you were trying
to use GetExecutorLossReason?
So, I uploaded my
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Github user sabhyankar commented on the pull request:
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@holdenk Not sure if you are reviewing the other PRs, but the fix should
now be in all of them. Thx!
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GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/8289
[SPARK-10098][STREAMING][TEST] Cleanup active context after test in
FailureSuite
Failures in streaming.FailureSuite can leak StreamingContext and
SparkContext which fails all subsequent tests
You
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8184#discussion_r37361712
--- Diff: docs/ml-features.md ---
@@ -649,6 +649,77 @@ for expanded in polyDF.select(polyFeatures).take(3):
/div
/div
+## Discrete
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/8223#issuecomment-132375517
No, just trying not merge stuff which isn't critical, but sure, I'll merge
it with master and branch-1.5
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