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The following commit(s) were added to refs/heads/master by this push: new 340c8b8 [MINOR][DOC] Updated PySpark Binarizer docstring to match Scala's. 340c8b8 is described below commit 340c8b8387bbaebdd23958c9ee7a352461abc1f8 Author: Brooke Wenig <brookewe...@gmail.com> AuthorDate: Wed Mar 6 19:42:41 2019 -0600 [MINOR][DOC] Updated PySpark Binarizer docstring to match Scala's. ## What changes were proposed in this pull request? PySpark's Binarizer docstring had two issues: 1) The values did not need to be in the range [0, 1]. 2) It can be used for binary classification prediction. This change corrects both of these issues by making it consistent with Scala's docstring for Binarizer. ## How was this patch tested? Not applicable because I only changed the docstring. But if I need to do any testing, let me know and I'll do it. Please review http://spark.apache.org/contributing.html before opening a pull request. Closes #23934 from brookewenig/binarizer-docs-fix. Authored-by: Brooke Wenig <brookewe...@gmail.com> Signed-off-by: Sean Owen <sean.o...@databricks.com> --- python/pyspark/ml/feature.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py index 8583046..3f9de9c 100755 --- a/python/pyspark/ml/feature.py +++ b/python/pyspark/ml/feature.py @@ -86,7 +86,9 @@ class Binarizer(JavaTransformer, HasInputCol, HasOutputCol, JavaMLReadable, Java """ threshold = Param(Params._dummy(), "threshold", - "threshold in binary classification prediction, in range [0, 1]", + "Param for threshold used to binarize continuous features. " + + "The features greater than the threshold will be binarized to 1.0. " + + "The features equal to or less than the threshold will be binarized to 0.0", typeConverter=TypeConverters.toFloat) @keyword_only --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org