You’re right, Nick! This function does exactly that.
Sean has already helped me greatly.
Thanks for your reply.
Wouter Samaey
Zaakvoerder Storefront BVBA
Tel: +32 472 72 83 07
Web: http://storefront.be
LinkedIn: http://www.linkedin.com/in/woutersamaey
On 07 Jan 2015, at 11:08, Nick
One other idea was that I don’t need to re-train the model, but simply pass all
the current user’s recent ratings (including one’s created after the training)
to the existing model…
Is this a valid option?
Wouter Samaey
Zaakvoerder Storefront BVBA
Tel: +32 472 72 83 07
Web: http
, Wouter Samaey wouter.sam...@storefront.be
wrote:
Hi all,
I'm curious about MLlib and if it is possible to do incremental training on
the ALSModel.
Usually training is run first, and then you can query. But in my case, data
is collected in real-time and I want the predictions of my ALSModel
Hi all,
I'm curious about MLlib and if it is possible to do incremental training on
the ALSModel.
Usually training is run first, and then you can query. But in my case, data
is collected in real-time and I want the predictions of my ALSModel to
consider the latest data without complete
