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From BryanCutler <>
Subject [GitHub] spark pull request: [SPARK-12633][PYSPARK] [DOC] PySpark regressio...
Date Sat, 27 Feb 2016 00:28:48 GMT
Github user BryanCutler commented on a diff in the pull request:
    --- Diff: python/pyspark/mllib/ ---
    @@ -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
    -    its corresponding right hand side label y.
    -    See also the documentation for the precise formulation.
    --- End diff --
    Same here

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