Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/6315#discussion_r30827962
--- Diff: python/pyspark/mllib/feature.py ---
@@ -254,6 +254,49 @@ def fit(self, data):
return ChiSqSelectorModel(jmodel)
+class PCAModel(JavaVectorTransformer):
+ """
+ Model fitted by [[PCA]] that can project vectors to a low-dimensional
space using PCA.
+ """
+ def transform(self, vector):
+ """
+ Applies transformation on a vector.
+
+ :param vector: Vector or RDD of Vector to be transformed.
+ :return: transformed vector.
+ """
+ return JavaVectorTransformer.transform(self, vector)
--- End diff --
This is the default behavior, so you could not have `transform()` in
`PCAModel`.
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