Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6856#discussion_r32673601
--- Diff: python/pyspark/mllib/feature.py ---
@@ -123,20 +132,6 @@ class StandardScalerModel(JavaVectorTransformer):
Represents a StandardScaler model that can transform vectors.
"""
- def transform(self, vector):
- """
- Applies standardization transformation on a vector.
-
- Note: In Python, transform cannot currently be used within
- an RDD transformation or action.
- Call transform directly on the RDD instead.
-
- :param vector: Vector or RDD of Vector to be standardized.
- :return: Standardized vector. If the variance of a column is
--- End diff --
This part is specific to this transformer. Can you please add it somewhere
in the doc for StandardScalerModel?
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