:53 AM, Josh Buffum jbuf...@gmail.com wrote:
I've got a data set of activity by user. For each user, I'd like to
train a
decision tree model. I currently have the feature creation step
implemented
in Spark and would naturally like to use mllib's decision tree model.
However, it looks like
are using RDDs inside RDDs. But I
am also not sure you should do what it looks like you are trying to do.
On Jan 13, 2015 12:32 AM, Josh Buffum jbuf...@gmail.com wrote:
Sean,
Thanks for the response. Is there some subtle difference between one
model partitioned by N users or N models per each 1 user
I've got a data set of activity by user. For each user, I'd like to train a
decision tree model. I currently have the feature creation step implemented
in Spark and would naturally like to use mllib's decision tree model.
However, it looks like the decision tree model expects the whole RDD and
