Github user sureshthalamati commented on the pull request:
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@rxin Thank you for reviewing the patch . Just to make sure tested with
out the next() call on MySql, Postgres, and DB2, it worked fine. Updated
the pull re
Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/8763#issuecomment-140518870
This seems like it could have a pretty serious perf impact. Are we able to
do some benchmarking to assess this?
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Github user jkbradley commented on a diff in the pull request:
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--- Diff: docs/mllib-feature-extraction.md ---
@@ -380,35 +380,37 @@ data2 = labels.zip(normalizer2.transform(features))
-## Feature se
Github user jkbradley commented on a diff in the pull request:
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--- Diff: docs/ml-guide.md ---
@@ -32,7 +32,18 @@ See the [algorithm guides](#algorithm-guides) section
below for guides on sub-pa
* This will become a
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Github user insidedctm commented on the pull request:
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@pwendell can this be opened again? As per my discussion on the the JIRA
ticket this is an issue that came up on the mailing list recently.
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
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Github user mengxr commented on the pull request:
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@catap I'm going to close this PR for now. Please submit it as a Spark
package at http://spark-packages.org if you want to provide this implementation
to others. Thanks!
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Github user pwendell commented on the pull request:
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This is perfect, thanks. LGTM. Jenkins, test this please.
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Merged into master. Thanks!
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GitHub user lresende opened a pull request:
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[SPARK-10511][BUILD] Reset git repository before packaging source distro
The calculation of Spark version is downloading
Scala and Zinc in the build directory which is
inflating the size of
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--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -156,6 +166,18 @@ def recommendProducts(self, user, num):
"""
return list(self
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--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -85,6 +85,16 @@ class MatrixFactorizationModel(JavaModelWrapper,
JavaSaveable, JavaLoader):
>>
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/MatrixFactorizationModelWrapper.scala
---
@@ -42,4 +42,15 @@ private[python] class
MatrixFac
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--- Diff:
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@@ -42,4 +42,15 @@ private[python] class
MatrixFac
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LGTM
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Github user noel-smith commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -93,8 +101,11 @@ class LinearRegressionModelBase(LinearModel):
True
>>> abs(lrmb.predi
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -65,6 +67,8 @@ class LinearModel(object):
:param weights: Weights computed for every feat
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -42,6 +42,8 @@ class LabeledPoint(object):
column matrix)
Note: 'label'
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
Github user marmbrus commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala
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@@ -68,13 +68,47 @@ case class Generate(
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GitHub user noel-smith opened a pull request:
https://github.com/apache/spark/pull/8773
[PySpark][MLlib][Docs] Replaced addversion with versionadded in mllib.random
Missed this when reviewing `pyspark.mllib.random` for SPARK-10275.
You can merge this pull request into a Git reposito
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Github user terrytangyuan commented on the pull request:
https://github.com/apache/spark/pull/8772#issuecomment-140494169
Ok, no wonder I saw more invalid links. Thanks though.
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Github user terrytangyuan closed the pull request at:
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/8739#issuecomment-140493951
@sarutak Looks like they need to be updated. Can you send another PR?
Thanks!
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8772#issuecomment-140493719
The Spark docs are designed to be viewed via the rendered docs at
spark.apache.org, not through GitHub, so the current link is correct.
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8745#issuecomment-140493467
@holdenk @falaki @ahirreddy, this should not be an issue for DBC since the
framed UI should already be served from the same origin.
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Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8677#discussion_r39547963
--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -36,6 +36,8 @@ class Rating(namedtuple("Rating", ["user", "product",
"rating"])):
(1, 2, 5
Github user noel-smith commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -157,17 +167,25 @@ def recommendProducts(self, user, num):
return list(self.call("recom
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--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -111,13 +113,17 @@ class MatrixFactorizationModel(JavaModelWrapper,
JavaSaveable, JavaLoader):
Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/8675#issuecomment-140493169
That's interesting, I don't know why `GBTRegressionModel` has a public
constructor (IMO it shouldn't since users should not be directly instantiationg
`Model`s), ma
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GitHub user terrytangyuan opened a pull request:
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[DOC] Fixed outdated programming-guide link
The link was not working.
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Github user sethah commented on the pull request:
https://github.com/apache/spark/pull/8675#issuecomment-140489654
@feynmanliang One thing I'm curious about is if this would still be a
problem if all the constructors were private to ml? Right now, GBTs are the
only one of the `Predict
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
---
@@ -115,8 +114,8 @@ abstract class QueryPlan[PlanType <:
TreeNo
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--- Diff:
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@@ -115,8 +114,8 @@ abstract class QueryPlan[PlanType <:
TreeNo
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[SPARK-10618] [Mesos] Refactoring coarsed-grained scheduling conditioâ¦
â¦n and adding test for same.
This commit just refactored a scheduling condition into the method and
adde
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -655,15 +655,19 @@ private[spark] object Utils extends Logging {
// created th
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Github user SparkQA commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-140479983
@davies ping
Can somebody verify this? Jenkins have't started tests for this pull
requests
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/8761#issuecomment-140480137
OK updated - I put everything in LocalNode.
I was initially thinking it might be better to be more explicit - but it
seems vast majority of the operators don't need
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/8437
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/8687#issuecomment-140479545
I test it locally with these code:
```
sparkContext.conf.set("spark.speculation", "true")
sparkContext.hadoopConfiguration.set("mapred.output.committer.
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