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SPARK-15749
Make the error message more meaningful
Add pydoc lint for docs
Investigate replacing SynchronizedBuffer as it is deprecated/unreliable
SPARK-13214
Fix dynamic allocation docsSPARK-12230
WeightedLeastSquares.fit() should handle division by zero properly if standard deviation of target variable is zero.
Add missing @DeveloperApi annotation in sql.typesSPARK-15164
Mark classification algorithms as experimental where marked so in scala- SPARK-14742
Redirect spark-ec2 doc to new location
using DSL in ColumnPruningSuite to improve readablity
Allow for overriding both httpclient and httpcore versions
Missing "|" in the g4 definition
Rename KMeansSummary.size to clusterSizes
SPARK-5882
Add a test for GraphLoader.edgeListFile
history server sort by completed time by default
Fix fix wrong comment and remove meanless lines in mllib.JavaBisectingKMeansExample
mllib deprecation messages mention non-existent version 1.7.0
Make Parameter Descriptions Consistent for PySpark MLlib Tree
Make Parameter Descriptions Consistent for PySpark MLlib Regression
Make Parameter Descriptions Consistent for PySpark MLlib FPM and Recommendation
Make Parameter Descriptions Consistent for PySpark MLlib Clustering
Make Parameter Descriptions Consistent for PySpark MLlib Classification
ML StopWordsRemover does not protect itself from column name duplication
Too aggressive logging in SizeBasedRollingPolicy?
Change MLWritable.write to be a property
Remove mllib.tree.model.Node.build
CLONE - Support model save/load in Python's FPGrowth
Makes the explain output less verbose by hiding some verbose output like None, null, empty List, and etc..
PySpark Cleanup of _setDefault with seed=None
Invalid aggregate functions like MAX(COUNT(*)) are not captured by CheckAnalysis
[SQL] Allows operator to change the verbosity in explain output.
BinaryClassificationEvaluator should accept Double prediction column
Add random seed Param to Scala CrossValidator
Add random seed Param to PySpark CrossValidator
Logging: Make it either stable or private[spark]
Remove last usages of jblas in tests
Configure a custom webui_url for the Spark Mesos Framework
Deprecate validateParams
Deprecate model field in ML model summary classes
Clarify commutative / associative operator requirements for reduce, foldSPARK-13292
QuantileDiscretizer should take random seed in PySpark
Spark examples page gives errors : Liquid error: pygments
Update plugin, test, example dependencies for 2.x
Make Accumulable.countFailedValues a user facing API.
PySpark ML persistence failed when handle no default value parameter
Fix task metrics deprecation warning
Replace deprecated synchronizedBuffer in core
add long--formatted timestamps to org.apache.spark.status.api.v1.ApplicationAttemptInfo
Reorder filter/join predicates to short-circuit isNotNull checks
Support for specifying custom date format for date and timestamp types
Refine naive Bayes example code