You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Corey (JIRA)" <ji...@apache.org> on 2017/02/25 00:45:44 UTC
[jira] [Created] (SPARK-19734) OneHotEncoder __init__ uses dropLast
but doc strings all say includeFirst
Corey created SPARK-19734:
-----------------------------
Summary: OneHotEncoder __init__ uses dropLast but doc strings all say includeFirst
Key: SPARK-19734
URL: https://issues.apache.org/jira/browse/SPARK-19734
Project: Spark
Issue Type: Documentation
Components: PySpark
Affects Versions: 2.1.0, 2.0.2, 1.6.3, 1.5.2
Reporter: Corey
Priority: Minor
The {{OneHotEncoder.__init__}} doc string in PySpark has an input keyword listed as {{includeFirst}}, whereas the code actually uses {{dropLast}}.
This especially confusing because the {{__init__}} function accepts only keywords, and following the documentation on the web (https://spark.apache.org/docs/2.0.1/api/python/pyspark.ml.html#pyspark.ml.feature.OneHotEncoder) or of {{help}} in Python will result in the error:
{quote}
TypeError: __init__() got an unexpected keyword argument 'includeFirst'
{quote}
The error is immediately viewable in the source code:
{code}
@keyword_only
def __init__(self, dropLast=True, inputCol=None, outputCol=None):
"""
__init__(self, includeFirst=True, inputCol=None, outputCol=None)
"""
{code}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org