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-rwxr-xr-xpython/pyspark/ml/feature.py4
1 files changed, 0 insertions, 4 deletions
diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py
index 40b63d4d31..aada38d1ad 100755
--- a/python/pyspark/ml/feature.py
+++ b/python/pyspark/ml/feature.py
@@ -654,8 +654,6 @@ class IDFModel(JavaModel, JavaMLReadable, JavaMLWritable):
@inherit_doc
class MaxAbsScaler(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable, JavaMLWritable):
"""
- .. note:: Experimental
-
Rescale each feature individually to range [-1, 1] by dividing through the largest maximum
absolute value in each feature. It does not shift/center the data, and thus does not destroy
any sparsity.
@@ -715,8 +713,6 @@ class MaxAbsScaler(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable, Jav
class MaxAbsScalerModel(JavaModel, JavaMLReadable, JavaMLWritable):
"""
- .. note:: Experimental
-
Model fitted by :py:class:`MaxAbsScaler`.
.. versionadded:: 2.0.0