Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/11404#discussion_r54321208
--- Diff: python/pyspark/mllib/regression.py ---
@@ -217,19 +220,8 @@ def _regression_train_wrapper(train_func, modelClass,
data, initial_weights):
class LinearRegressionWithSGD(object):
"""
- Train a linear regression model with no regularization using
Stochastic Gradient Descent.
- This solves the least squares regression formulation
-
- f(weights) = 1/n ||A weights-y||^2
-
- which is the mean squared error.
- Here the data matrix has n rows, and the input RDD holds the set of
rows of A, each with
- its corresponding right hand side label y.
- See also the documentation for the precise formulation.
-
--- End diff --
This comment block is repeated right below, so I thought it would be fine
to remove
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