I've tried to parallelize the separate regressions using
allResponses.toParArray.map( x= do logistic regression against labels in x)
But I start to see messages like
14/06/20 10:10:26 WARN scheduler.TaskSetManager: Lost TID 4193 (task
363.0:4)
14/06/20 10:10:27 WARN scheduler.TaskSetManager: Loss
I looks like I was running into
https://issues.apache.org/jira/browse/SPARK-2204
The issues went away when I changed to spark.mesos.coarse.
Kyle
On Fri, Jun 20, 2014 at 10:36 AM, Kyle Ellrott kellr...@soe.ucsc.edu
wrote:
I've tried to parallelize the separate regressions using
I'm working on a problem learning several different sets of responses
against the same set of training features. Right now I've written the
program to cycle through all of the different label sets, attached them to
the training data and run LogisticRegressionWithSGD on each of them. ie
foreach
