spark-instrumented-optimizer/python/pyspark/ml
Xiangrui Meng 834e699524 [MINOR] fix RegressionEvaluator doc
`make clean html` under `python/doc` returns
~~~
/Users/meng/src/spark/python/pyspark/ml/evaluation.py:docstring of pyspark.ml.evaluation.RegressionEvaluator.setParams:3: WARNING: Definition list ends without a blank line; unexpected unindent.
~~~

harsha2010

Author: Xiangrui Meng <meng@databricks.com>

Closes #6469 from mengxr/fix-regression-evaluator-doc and squashes the following commits:

91e2dad [Xiangrui Meng] fix RegressionEvaluator doc
2015-05-28 21:26:43 -07:00
..
param [SPARK-7762] [MLLIB] set default value for outputCol 2015-05-20 17:26:26 -07:00
__init__.py [SPARK-7535] [.0] [MLLIB] Audit the pipeline APIs for 1.4 2015-05-21 22:57:33 -07:00
classification.py [SPARK-7511] [MLLIB] pyspark ml seed param should be random by default or 42 is quite funny but not very random 2015-05-20 15:16:12 -07:00
evaluation.py [MINOR] fix RegressionEvaluator doc 2015-05-28 21:26:43 -07:00
feature.py [SPARK-7794] [MLLIB] update RegexTokenizer default settings 2015-05-21 17:59:03 -07:00
pipeline.py [SPARK-7535] [.0] [MLLIB] Audit the pipeline APIs for 1.4 2015-05-21 22:57:33 -07:00
recommendation.py [SPARK-7511] [MLLIB] pyspark ml seed param should be random by default or 42 is quite funny but not very random 2015-05-20 15:16:12 -07:00
regression.py [SPARK-7511] [MLLIB] pyspark ml seed param should be random by default or 42 is quite funny but not very random 2015-05-20 15:16:12 -07:00
tests.py [SPARK-7511] [MLLIB] pyspark ml seed param should be random by default or 42 is quite funny but not very random 2015-05-20 15:16:12 -07:00
tuning.py [SPARK-7380] [MLLIB] pipeline stages should be copyable in Python 2015-05-18 12:02:18 -07:00
util.py [SPARK-7380] [MLLIB] pipeline stages should be copyable in Python 2015-05-18 12:02:18 -07:00
wrapper.py [SPARK-7535] [.0] [MLLIB] Audit the pipeline APIs for 1.4 2015-05-21 22:57:33 -07:00