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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-1219) Minibatch SGD with disjoint partitions
Date Mon, 07 Apr 2014 17:49:16 GMT

     [ https://issues.apache.org/jira/browse/SPARK-1219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng resolved SPARK-1219.
----------------------------------

    Resolution: Fixed

Implemented in 0.9.0 or an earlier version.

> Minibatch SGD with disjoint partitions
> --------------------------------------
>
>                 Key: SPARK-1219
>                 URL: https://issues.apache.org/jira/browse/SPARK-1219
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Ameet Talwalkar
>
> Takes a gradient function as input.  At each iteration, we run stochastic gradient descent
locally on each worker with a fraction (alpha) of the data points selected randomly and disjointly
(i.e., we ensure that we touch all datapoints after at most 1/alpha iterations).



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