Re: why decision trees do binary split?

there are levels would in some cases separate subgroups of variables which are not "that different". Successive binary splits could potentially provide you with the required "homogeneous subsets". Best, Carlos J. Gil Bellosta http://www.datanalytics.com 2014-11-06 10:46 GMT

Re: SparkR: split, apply, combine strategy for dataframes?

parallelizing and the cluster ran without memory issues. Best, Carlos J. Gil Bellosta http://www.datanalytics.com 2014-08-15 3:53 GMT+02:00 Shivaram Venkataraman : > Could you try increasing the number of slices with the large data set ? > SparkR assumes that each slice (or partition in

SparkR: split, apply, combine strategy for dataframes?

nd smaller batches to my cluster? Is there any recommended general approach to these kind of split-apply-combine problems? Best, Carlos J. Gil Bellosta http://www.datanalytics.com - To unsubscribe, e-mail: user-unsubscr...@spark.