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--- Diff: python/pyspark/mllib/clustering.py ---
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[SPARK-12700] [SQL] embed condition into SMJ and BroadcastHashJoin
Currently SortMergeJoin and BroadcastHashJoin do not support condition, the
need a followed Filter for that, the result projection
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@tdas forgot to merge? I'm merging it now.
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--- Diff: python/pyspark/ml/tests.py ---
@@ -371,6 +378,103 @@ def test_fit_maximize_metric(self):
self.assertEqual(1.0, bestModelMetric, "Best
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--- Diff: python/pyspark/ml/tests.py ---
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/optim/GLMFamilies.scala
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+/*
+ * Licensed to the Apache Software Foundation
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--- Diff:
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--- Diff: python/pyspark/mllib/clustering.py ---
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from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
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jenkins, retest this please
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Does this actually let you use one source to compile against both versions
of Spark?
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--- Diff:
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@@ -94,8 +110,7 @@ private[ml] class WeightedLeastSquares(
Github user thunterdb commented on the pull request:
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LGTM cc @jkbradley
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retest this please
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Cool!
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Alright merging this. Thanks.
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--- Diff: python/pyspark/mllib/clustering.py ---
@@ -38,13 +38,116 @@
from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
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--- Diff: python/pyspark/mllib/clustering.py ---
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from pyspark.mllib.util import Saveable, Loader, inherit_doc, JavaLoader,
Github user Wenpei commented on the pull request:
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@srowen it pass test now. ready for merge.
Thanks for review.
Wenpei
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@mengxr @srowen @jkbradley Why reviewing this simple thing which is
important for my application is taking so long?
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test this please
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/IterativelyReweightedLeastSquares.scala
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@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache
Github user tdas commented on the pull request:
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I was having trouble with setting up the Exceeded Github API rate limit.
Thanks for merging.
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test this please
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warnings are displayed like as follows.
```
[warn]
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Jenkins, test this please
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Github user gracew commented on a diff in the pull request:
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--- Diff: python/pyspark/__init__.py ---
@@ -36,6 +36,53 @@
Finer-grained cache persistence levels.
"""
+import os
+import re
Github user sethah commented on the pull request:
https://github.com/apache/spark/pull/10639#issuecomment-169848523
@yanboliang Could you post a link to a reference paper? I find
documentation on IRLS scattered, so it would be nice to have something concrete
to point to.
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Sorry i forgot about this PR completely. Just one more nit that i commented
on.
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
---
@@ -336,7 +336,8 @@ class JavaPairDStream[K, V](val dstream:
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/10652
[SPARK-12699][SPARKR] R driver process should start in a clean state
Currently we have R worker process launched with the --vanilla option that
brings it up in a clean state (without init
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -57,8 +57,8 @@ trait
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--- Diff: python/pyspark/mllib/fpm.py ---
@@ -130,15 +133,21 @@ def train(cls, data, minSupport=0.1,
maxPatternLength=10, maxLocalProjDBSize=320
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--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -239,6 +239,17 @@ def train(cls, ratings, rank, iterations=5,
lambda_=0.01, blocks=-1, nonnegative
Github user felixcheung 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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By the way, I will send another PR for branch 1.6 due to the conflicts of
MimaExcludes.scala.
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retest this please
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GitHub user BryanCutler opened a pull request:
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[SPARK-12701] [CORE] FileAppender should use join to ensure writing thread
completion
Changed Logging FileAppender to use join in `awaitTermination` to ensure
that thread is properly
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Github user mohitjaggi commented on the pull request:
https://github.com/apache/spark/pull/10615#issuecomment-169852430
this is great...thanks @falaki
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Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9936#discussion_r49147215
--- Diff: python/pyspark/ml/tests.py ---
@@ -371,6 +378,103 @@ def test_fit_maximize_metric(self):
self.assertEqual(1.0, bestModelMetric, "Best
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/10641
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