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SPARK-13151
Investigate replacing SynchronizedBuffer as it is deprecated/unreliableSPARK-13154
Add pydoc lint for docsSPARK-15164
Mark classification algorithms as experimental where marked so in scalaSPARK-15210
Add missing @DeveloperApi annotation in sql.typesSPARK-15158
Too aggressive logging in SizeBasedRollingPolicy?SPARK-12230
WeightedLeastSquares.fit() should handle division by zero properly if standard deviation of target variable is zero.SPARK-12634
Make Parameter Descriptions Consistent for PySpark MLlib TreeSPARK-12633
Make Parameter Descriptions Consistent for PySpark MLlib RegressionSPARK-12632
Make Parameter Descriptions Consistent for PySpark MLlib FPM and RecommendationSPARK-12631
Make Parameter Descriptions Consistent for PySpark MLlib ClusteringSPARK-12630
Make Parameter Descriptions Consistent for PySpark MLlib ClassificationSPARK-14284
Rename KMeansSummary.size to clusterSizesSPARK-14742
Redirect spark-ec2 doc to new locationSPARK-14383
Missing "|" in the g4 definitionSPARK-14470
Allow for overriding both httpclient and httpcore versionsSPARK-12711
ML StopWordsRemover does not protect itself from column name duplicationSPARK-12651
mllib deprecation messages mention non-existent version 1.7.0SPARK-14036
Remove mllib.tree.model.Node.buildSPARK-13775
history server sort by completed time by defaultSPARK-13551
Fix fix wrong comment and remove meanless lines in mllib.JavaBisectingKMeansExampleSPARK-13214
Fix dynamic allocation docsSPARK-14071
Change MLWritable.write to be a propertySPARK-15749
Make the error message more meaningfulSPARK-10477
using DSL in ColumnPruningSuite to improve readablitySPARK-5882
Add a test for GraphLoader.edgeListFileSPARK-18313
CLONE - Support model save/load in Python's FPGrowthSPARK-13153
PySpark ML persistence failed when handle no default value parameterSPARK-13152
Fix task metrics deprecation warningSPARK-13089
spark.ml Naive Bayes user guideSPARK-12986
Fix pydoc warnings in mllib/regression.pySPARK-11815
PySpark DecisionTreeClassifier & DecisionTreeRegressor should support setSeedSPARK-11515
QuantileDiscretizer should take random seedSPARK-11507
Error thrown when using BlockMatrix.addSPARK-11945
Add computeCost to KMeansModel for PySpark spark.mlSPARK-11944
Python API for mllib.clustering.BisectingKMeansSPARK-11861
Expose feature importances API for decision treesSPARK-11497
PySpark RowMatrix Constructor Has Type Erasure IssueSPARK-11925
Add PySpark missing methods for ml.feature during Spark 1.6 QASPARK-11922
Python API for ml.feature.QuantileDiscretizerSPARK-11295
Add packages to JUnit output for Python testsSPARK-10985
Avoid passing evicted blocks throughout BlockManager / CacheManagerSPARK-15346
Reduce duplicate computation in picking initial points in LocalKMeansSPARK-15296
Refactor All Java Tests that use SparkSessionSPARK-15166
Move hive-specific conf setting from SparkSessionSPARK-15134
Indent SparkSession builder patterns and update binary_classification_metrics_example.pySPARK-15121
Improve logging of external shuffle handlerSPARK-15067
YARN executors are launched with fixed perm gen sizeSPARK-15152
Scaladoc and Code style ImprovementsSPARK-14885
When creating a CatalogColumn, we should use catalogString of a DataTypeSPARK-15249
Use FunctionResource instead of (String, String) in CreateFunction and CatalogFunction for resource
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