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Merged Apache bug fixes #100

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Merged
markhamstra merged 18 commits into from
Oct 9, 2015
Merged

Merged Apache bug fixes #100

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a367840
[SPARK-10859] [SQL] fix stats of StringType in columnar cache
Sep 28, 2015
9b3014b
[SPARK-10833] [BUILD] Inline, organize BSD/MIT licenses in LICENSE
srowen Sep 29, 2015
d544932
[SPARK-10825] [CORE] [TESTS] Fix race conditions in StandaloneDynamic…
zsxwing Sep 29, 2015
3b23873
[SPARK-10871] include number of executor failures in error msg
ryan-williams Sep 29, 2015
cbc6aec
[SPARK-10058] [CORE] [TESTS] Fix the flaky tests in HeartbeatReceiver…
zsxwing Oct 1, 2015
8836ac3
[SPARK-10904] [SPARKR] Fix to support `select(df, c("col1", "col2"))`
felixcheung Oct 4, 2015
d323e5e
[SPARK-10889] [STREAMING] Bump KCL to add MillisBehindLatest metric
akatz Oct 4, 2015
c8392cd
[SPARK-10934] [SQL] handle hashCode of unsafe array correctly
cloud-fan Oct 6, 2015
6847be6
[SPARK-10901] [YARN] spark.yarn.user.classpath.first doesn't work
Oct 6, 2015
84f510c
[SPARK-10885] [STREAMING] Display the failed output op in Streaming UI
zsxwing Oct 6, 2015
b6a0933
[SPARK-10952] Only add hive to classpath if HIVE_HOME is set.
kevincox Oct 7, 2015
57978ae
[SPARK-10980] [SQL] fix bug in create Decimal
Oct 7, 2015
ba601b1
[SPARK-10914] UnsafeRow serialization breaks when two machines have d…
rxin Oct 9, 2015
3df7500
[SPARK-10955] [STREAMING] Add a warning if dynamic allocation for Str…
harishreedharan Oct 9, 2015
a3b4b93
Merge branch 'branch-1.5' of github.com:apache/spark into csd-1.5
markhamstra Oct 9, 2015
f95129c
[SPARK-10959] [PYSPARK] StreamingLogisticRegressionWithSGD does not t…
BryanCutler Oct 9, 2015
9a625f3
Merge branch 'branch-1.5' of github.com:apache/spark into csd-1.5
markhamstra Oct 9, 2015
5a10e10
[SPARK-10389] [SQL] support order by non-attribute grouping expressio…
cloud-fan Sep 2, 2015
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3 changes: 2 additions & 1 deletion python/pyspark/mllib/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -632,7 +632,8 @@ def update(rdd):
if not rdd.isEmpty():
self._model = LogisticRegressionWithSGD.train(
rdd, self.numIterations, self.stepSize,
self.miniBatchFraction, self._model.weights)
self.miniBatchFraction, self._model.weights,
regParam=self.regParam, convergenceTol=self.convergenceTol)

dstream.foreachRDD(update)

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2 changes: 1 addition & 1 deletion python/pyspark/mllib/regression.py
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Expand Up @@ -669,7 +669,7 @@ def update(rdd):
self._model = LinearRegressionWithSGD.train(
rdd, self.numIterations, self.stepSize,
self.miniBatchFraction, self._model.weights,
self._model.intercept)
intercept=self._model.intercept, convergenceTol=self.convergenceTol)

dstream.foreachRDD(update)

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