[ 
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).



--
This message was sent by Atlassian JIRA
(v6.2#6252)

Reply via email to