not sure how to do that with SVN.
Tamas
On 28/06/2010 23:10, Jake Mannix wrote:
Yep, this seems totally valid. In fact, even with the distributed SVD,
adding the ability to stop after achieving a certain RMSE could be pretty
helpful, so that people don't need to always pick what rank to ask for.
Patches welcome! :)
-jake
On Mon, Jun 28, 2010 at 11:59 PM, Tamas Jambor<[email protected]> wrote:
depending what I for the initial step, with my setting initialSteps=60, I
can save around 50% with the MovieLens10m dataset.
You can also justify this by saying that we are minimizing a function, so
that a fixed number of steps is not really the best way to achieve this
(e.g. depending on the slope it might arrive to the local minima sooner or
later).
Tamas
On 28/06/2010 22:31, Ted Dunning wrote:
How much speedup do you observe?
On Mon, Jun 28, 2010 at 2:29 PM, Tamas Jambor<[email protected]> wrote:
Hi,
I was looking at the SVD code, I am sure you are aware of this
modification, but it would really make things faster. The idea is that
you
set up a minimum RMSE improvement so it would stop training a particular
feature if the algorithm reaches that threshold. I implemented it based
on
your code, it is just a slight change.
Tamas
