[SPARK-6657] [PYSPARK] Fix doc warnings

Fixed the following warnings in `make clean html` under `python/docs`:

~~~
/Users/meng/src/spark/python/pyspark/mllib/evaluation.py:docstring of pyspark.mllib.evaluation.RankingMetrics.ndcgAt:3: ERROR: Unexpected indentation.
/Users/meng/src/spark/python/pyspark/mllib/evaluation.py:docstring of pyspark.mllib.evaluation.RankingMetrics.ndcgAt:4: WARNING: Block quote ends without a blank line; unexpected unindent.
/Users/meng/src/spark/python/pyspark/mllib/fpm.py:docstring of pyspark.mllib.fpm.FPGrowth.train:3: ERROR: Unexpected indentation.
/Users/meng/src/spark/python/pyspark/mllib/fpm.py:docstring of pyspark.mllib.fpm.FPGrowth.train:4: WARNING: Block quote ends without a blank line; unexpected unindent.
/Users/meng/src/spark/python/pyspark/sql/__init__.py:docstring of pyspark.sql.DataFrame.replace:16: WARNING: Field list ends without a blank line; unexpected unindent.
/Users/meng/src/spark/python/pyspark/streaming/kafka.py:docstring of pyspark.streaming.kafka.KafkaUtils.createRDD:8: ERROR: Unexpected indentation.
/Users/meng/src/spark/python/pyspark/streaming/kafka.py:docstring of pyspark.streaming.kafka.KafkaUtils.createRDD:9: WARNING: Block quote ends without a blank line; unexpected unindent.
~~~

davies

Author: Xiangrui Meng <meng@databricks.com>

Closes #6221 from mengxr/SPARK-6657 and squashes the following commits:

e3f83fe [Xiangrui Meng] fix sql and streaming doc warnings
2b4371e [Xiangrui Meng] fix mllib python doc warnings

1 files changed, 6 insertions, 6 deletions

diff --git a/python/pyspark/mllib/fpm.py b/python/pyspark/mllib/fpm.py
index d8df02bdba..bdc4a132b1 100644
--- a/python/pyspark/mllib/fpm.py
+++ b/python/pyspark/mllib/fpm.py
@@ -61,12 +61,12 @@ class FPGrowth(object):
     def train(cls, data, minSupport=0.3, numPartitions=-1):
         """
         Computes an FP-Growth model that contains frequent itemsets.
-        :param data:            The input data set, each element
-                                contains a transaction.
-        :param minSupport:      The minimal support level
-                                (default: `0.3`).
-        :param numPartitions:   The number of partitions used by parallel
-                                FP-growth (default: same as input data).
+
+        :param data: The input data set, each element contains a
+            transaction.
+        :param minSupport: The minimal support level (default: `0.3`).
+        :param numPartitions: The number of partitions used by
+            parallel FP-growth (default: same as input data).
         """
         model = callMLlibFunc("trainFPGrowthModel", data, float(minSupport), int(numPartitions))
         return FPGrowthModel(model)