it's the standard netflix dataset around 100m ratings. It seems it is
working OK with around 10gb memory. if I remember correctly this could
be run using around 3-4gb.
On 18/06/2010 13:49, Sean Owen wrote:
How big is your input?
I am not sure this necessarily scales to tens of millions of data points, no.
A distributed implementation is being created which could be more appropriate.
On Fri, Jun 18, 2010 at 11:33 AM, Tamas Jambor<[email protected]> wrote:
hi,
i am trying to run an SVD recommender with the netflix dataset, first I am
trying to read the data to a GenericDataModel object, for some reason I
always run out of memory, even if I assign quite a lot of memory to the task
(e.g 10gb). is there a more efficient way to run this task?
thanks,
Tamas
