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* [SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySparkMechCoder2015-07-151-2/+2
* Revert "[SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySpark"Davies Liu2015-07-131-2/+2
* [SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySparkMechCoder2015-07-131-2/+2
* [SPARK-7762] [MLLIB] set default value for outputColXiangrui Meng2015-05-202-2/+3
* [SPARK-7511] [MLLIB] pyspark ml seed param should be random by default or 42 ...Holden Karau2015-05-203-35/+13
* [SPARK-7380] [MLLIB] pipeline stages should be copyable in PythonXiangrui Meng2015-05-183-56/+106
* [SPARK-7382] [MLLIB] Feature Parity in PySpark for ml.classificationBurak Yavuz2015-05-132-0/+33
* [SPARK-7487] [ML] Feature Parity in PySpark for ml.regressionBurak Yavuz2015-05-122-7/+170
* [SPARK-7427] [PYSPARK] Make sharedParams match in Scala, PythonGlenn Weidner2015-05-102-19/+17
* [SPARK-7488] [ML] Feature Parity in PySpark for ml.recommendationBurak Yavuz2015-05-082-0/+31
* [SPARK-7383] [ML] Feature Parity in PySpark for ml.featuresBurak Yavuz2015-05-082-1/+92
* [SPARK-7388] [SPARK-7383] wrapper for VectorAssembler in PythonBurak Yavuz2015-05-072-0/+30
* [SPARK-7333] [MLLIB] Add BinaryClassificationEvaluator to PySparkXiangrui Meng2015-05-052-0/+30
* [SPARK-6661] Python type errors should print type, not objectElisey Zanko2015-04-201-1/+1
* [SPARK-4897] [PySpark] Python 3 supportDavies Liu2015-04-162-8/+10
* [SPARK-6893][ML] default pipeline parameter handling in pythonXiangrui Meng2015-04-153-96/+198
* [SPARK-5769] Set params in constructors and in setParams in Python ML pipelinesXiangrui Meng2015-02-151-0/+8
* [SPARK-4586][MLLIB] Python API for ML pipeline and parametersXiangrui Meng2015-01-283-0/+440