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From: BryanCutler <git@git.apache.org>
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Subject: [GitHub] spark pull request: [SPARK-12633][PYSPARK] [DOC] PySpark
 regressio...
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Message-Id: <20160227002848.64561E0211@git1-us-west.apache.org>
Date: Sat, 27 Feb 2016 00:28:48 +0000 (UTC)

Github user BryanCutler commented on a diff in the pull request:

    https://github.com/apache/spark/pull/11404#discussion_r54321225
  
    --- Diff: python/pyspark/mllib/regression.py ---
    @@ -368,56 +365,53 @@ def load(cls, sc, path):
     
     class LassoWithSGD(object):
         """
    -    Train a regression model with L1-regularization using Stochastic Gradient Descent.
    -    This solves the L1-regularized least squares regression formulation
    -
    -        f(weights) = 1/2n ||A weights-y||^2  + regParam ||weights||_1
    -
    -    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 --
    
    Same here


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