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LGTM.
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I've got no specific problem with adding such an example, as it could be a
useful illustration of writing custom data via PySpark/Avro.
However I guess the preferr
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test this please
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Jenkins, retest this please.
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Not sure I follow completely - do you mean you compared cosine sim between
raw (ie "rating") item vectors, and cosine sim computed from item factor
vectors? I would imagin
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Github user FlytxtRnD commented on the pull request:
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@jkbradley ok, will close and reopen this. Could you please tell us why
this happened?
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GitHub user FlytxtRnD reopened a pull request:
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[SPARK-6612] [MLLib] [PySpark] Python KMeans parity
The following items are added to Python kmeans:
kmeans - setEpsilon, setInitializationSteps
KMeansModel - computeCost, k
You can
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Github user pwendell commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala ---
@@ -179,6 +179,11 @@ private[spark] object ClosureCleaner extends Logging {
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@FlytxtRnD The update confused github. Can you please try closing and
re-opening this PR to force github to recompute the diff? Thanks!
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@vanzin Not sure if we should modify `createAkkaConfig`, please give some
reference.
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Can one of the admins verify this patch?
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GitHub user JihongMA opened a pull request:
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SPARK-7357 Improving HBaseTest example
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/JihongMA/spark-1 SPARK-7357
Alternatively you can revie
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--- Diff: python/pyspark/sql/_types.py ---
@@ -652,7 +652,7 @@ def _python_to_sql_converter(dataType):
if isinstance(dataType, StructType):
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retest this please.
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Retest this please
On May 4, 2015 10:41 PM, "UCB AMPLab" wrote:
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--- Diff: python/pyspark/ml/param/shared.py ---
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return self.getOrDefault(self.predictionCol)
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LGTM. Except that one unnecessary import in spark.ui.UIUtils. :)
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package org.apache.spark.ui
import java.text.SimpleDateForma
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Jenkins, retest this please.
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retest this please.
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@NathanHowell I will take a final check tomorrow. Can you also add the
performance number of selecting all columns in the description? You can use
`df.rdd.count` as the com
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retest this please.
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/5903#discussion_r29644079
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -261,8 +265,9 @@ class DAGSchedulerSuite
override def taskS
GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/5903
[SPARK-5074][Core][Tests] Fix the flakey test 'run shuffle with map stage
failure' in DAGSchedulerSuite
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/5801#issuecomment-98949753
Yeah, given that there is a flag I think we can still include this.
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