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SPARK-5905
Note requirements for certain RowMatrix methods in docs- SPARK-10663
Change test.toDF to test in Spark ML Programming Guide SPARK-9748
Centriod typo in KMeansModelSPARK-9673
Use unbiased standard deviation in DataFrame.describe
More thoroughly deprecate Bagel in favor of GraphX
ML RandomForest cleanup: Move predictNodeIndex to LearningNodeSPARK-10020
ML model broadcasts should be stored in private vars: mllib GeneralizedLinearModel
ML model broadcasts should be stored in private vars: mllib IDFModel
ML model broadcasts should be stored in private vars: mllib NaiveBayes
ML model broadcasts should be stored in private vars: spark.ml Word2VecSPARK-10594
ApplicationMaster "--help" references the removed "--num-executors" option
SPARK-10247
Cleanup DAGSchedulerSuite "ignore late map task completion"SPARK-10516
Add values as a property to DenseVector in PySpark
Maximum memory is determined by two params but error message only lists one.
Remove the extra spaces in merge script
Unhandled case in VectorAssembler#transform
fix some style issue in ML/MLlib examples
Example mllib code in documentation incorrectly computes MSE
PySpark SparseVector can return wrong index in error message
On Windows spark-env.cmd is not loaded.
Duplicate initialzation flag in WeightedLeastSquare
Improve naming around task failures in scheduler code
Show summary of locality level of completed tasks in the each stage page of web UI
Cleanup FilteringParquetRowInputFormat
Pandas to DataFrame conversion should check field names for periods- SPARK-10631
Add missing API doc in pyspark.mllib.linalg.Vector
createDataFrame from a Java List<Row>
changes assertEquals to assertEqual for existing unit tests
Drivers run in cluster mode on mesos may not have spark-env variables available
Add IndexToString in Pyspark
Add Python API for ml.feature.VectorSlicer
Simplify CatalystReadSupport
Make GBTParams use shared "stepSize"
Decision Tree training: prevNodeIdsForInstances.unpersist() at end of training
Use of non-standard LIMIT keyword in JDBC tableExists code
AppId is set as AppName in status rest api
ML model broadcasts should be stored in private vars: mllib clustering
ML model broadcasts should be stored in private vars: spark.ml tree ensemblesSPARK-10014
ML model broadcasts should be stored in private vars
Wrap RDD.takeSample with scope
Move .java files out of src/main/scala
Make StreamingLogisticRegressionWithSGD Python API equals with Scala one
UserDefinedType.typeName gives wrong result
Minor SQL style, format, typo, readability fixes- SPARK-10077
Java package doc for spark.ml.feature - SPARK-10595
Various ML programming guide cleanups post 1.5
LogisticRegression copy should copy model summary if available
ML.LinearRegressionModel.copy() can not use argument "extra"
Would like to know if a given Spark Context is stopped or currently stopping
In SQL tab move visualization above explain output