1 files changed, 6 insertions, 2 deletions
diff --git a/python/pyspark/mllib/regression.py b/python/pyspark/mllib/regression.py
index 210060140f..21751cc68f 100644
--- a/python/pyspark/mllib/regression.py
+++ b/python/pyspark/mllib/regression.py
@@ -18,7 +18,7 @@
 import numpy as np
 from numpy import array
 
-from pyspark.mllib.common import callMLlibFunc
+from pyspark.mllib.common import callMLlibFunc, inherit_doc
 from pyspark.mllib.linalg import SparseVector, _convert_to_vector
 
 __all__ = ['LabeledPoint', 'LinearModel', 'LinearRegressionModel', 'RidgeRegressionModel',
@@ -69,6 +69,7 @@ class LinearModel(object):
         return "(weights=%s, intercept=%r)" % (self._coeff, self._intercept)
 
 
+@inherit_doc
 class LinearRegressionModelBase(LinearModel):
 
     """A linear regression model.
@@ -89,6 +90,7 @@ class LinearRegressionModelBase(LinearModel):
         return self.weights.dot(x) + self.intercept
 
 
+@inherit_doc
 class LinearRegressionModel(LinearRegressionModelBase):
 
     """A linear regression model derived from a least-squares fit.
@@ -162,7 +164,7 @@ class LinearRegressionWithSGD(object):
         @param intercept:         Boolean parameter which indicates the use
                                   or not of the augmented representation for
                                   training data (i.e. whether bias features
-                                  are activated or not).
+                                  are activated or not). (default: False)
         """
         def train(rdd, i):
             return callMLlibFunc("trainLinearRegressionModelWithSGD", rdd, int(iterations),
@@ -172,6 +174,7 @@ class LinearRegressionWithSGD(object):
         return _regression_train_wrapper(train, LinearRegressionModel, data, initialWeights)
 
 
+@inherit_doc
 class LassoModel(LinearRegressionModelBase):
 
     """A linear regression model derived from a least-squares fit with an
@@ -218,6 +221,7 @@ class LassoWithSGD(object):
         return _regression_train_wrapper(train, LassoModel, data, initialWeights)
 
 
+@inherit_doc
 class RidgeRegressionModel(LinearRegressionModelBase):
 
     """A linear regression model derived from a least-squares fit with an