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-rw-r--r--python/pyspark/mllib/feature.py12
1 files changed, 6 insertions, 6 deletions
diff --git a/python/pyspark/mllib/feature.py b/python/pyspark/mllib/feature.py
index e46af20886..10df628806 100644
--- a/python/pyspark/mllib/feature.py
+++ b/python/pyspark/mllib/feature.py
@@ -36,7 +36,7 @@ __all__ = ['Normalizer', 'StandardScalerModel', 'StandardScaler',
class VectorTransformer(object):
"""
- :: DeveloperApi ::
+ .. note:: DeveloperApi
Base class for transformation of a vector or RDD of vector
"""
@@ -51,7 +51,7 @@ class VectorTransformer(object):
class Normalizer(VectorTransformer):
"""
- :: Experimental ::
+ .. note:: Experimental
Normalizes samples individually to unit L\ :sup:`p`\ norm
@@ -112,7 +112,7 @@ class JavaVectorTransformer(JavaModelWrapper, VectorTransformer):
class StandardScalerModel(JavaVectorTransformer):
"""
- :: Experimental ::
+ .. note:: Experimental
Represents a StandardScaler model that can transform vectors.
"""
@@ -129,7 +129,7 @@ class StandardScalerModel(JavaVectorTransformer):
class StandardScaler(object):
"""
- :: Experimental ::
+ .. note:: Experimental
Standardizes features by removing the mean and scaling to unit
variance using column summary statistics on the samples in the
@@ -172,7 +172,7 @@ class StandardScaler(object):
class HashingTF(object):
"""
- :: Experimental ::
+ .. note:: Experimental
Maps a sequence of terms to their term frequencies using the hashing trick.
@@ -232,7 +232,7 @@ class IDFModel(JavaVectorTransformer):
class IDF(object):
"""
- :: Experimental ::
+ .. note:: Experimental
Inverse document frequency (IDF).