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| author | Xiangrui Meng <meng@databricks.com> | 2015-10-20 18:38:06 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-10-20 18:38:06 -0700 |
| commit | 135ade905089fe90d3cc9e84f8fedc7637e901d8 (patch) | |
| tree | d07e65eac8197689b67c6f6e72f3f1f4472b6d91 /python | |
| parent | 45861693bef2619196f0fbdf5c166ad3f9b1e8d1 (diff) | |
| download | spark-135ade905089fe90d3cc9e84f8fedc7637e901d8.tar.gz spark-135ade905089fe90d3cc9e84f8fedc7637e901d8.tar.bz2 spark-135ade905089fe90d3cc9e84f8fedc7637e901d8.zip | |
[MINOR][ML] fix doc warnings
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.
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/ml/feature.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py index a4e60f916b..55bde6d0ea 100644 --- a/python/pyspark/ml/feature.py +++ b/python/pyspark/ml/feature.py @@ -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"]) |