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[MINOR][ML] fix doc warnings

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Without an empty line, sphinx will treat doctest as docstring. holdenk

~~~
/Users/meng/src/spark/python/pyspark/ml/feature.py:docstring of pyspark.ml.feature.CountVectorizer:3: ERROR: Undefined substitution referenced: "label|raw |vectors | +-----+---------------+-------------------------+ |0 |[a, b, c] |(3,[0,1,2],[1.0,1.0,1.0])".
/Users/meng/src/spark/python/pyspark/ml/feature.py:docstring of pyspark.ml.feature.CountVectorizer:3: ERROR: Undefined substitution referenced: "1 |[a, b, b, c, a]|(3,[0,1,2],[2.0,2.0,1.0])".
~~~

Author: Xiangrui Meng <meng@databricks.com>

Closes #9188 from mengxr/py-count-vec-doc-fix.
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Xiangrui Meng 2015-10-20 18:38:06 -07:00
parent 45861693be
commit 135ade9050
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python/pyspark/ml/feature.py
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@ -178,6 +178,7 @@ class CountVectorizer(JavaEstimator, HasInputCol, HasOutputCol):
.. note:: Experimental
Extracts a vocabulary from document collections and generates a :py:attr:`CountVectorizerModel`.
>>> df = sqlContext.createDataFrame(
... [(0, ["a", "b", "c"]), (1, ["a", "b", "b", "c", "a"])],
... ["label", "raw"])