Hi all,
I've implemented most of a content recommendation system for a client.
However, whenever I attempt to save a MatrixFactorizationModel I've
trained, I see one of four outcomes:
1. Despite "save" being wrapped in a "try" block, I see a massive stack
trace quoting some java.io classes. The M
Hi there, I'm wondering if it's possible (or feasible) to combine the
feature matrices of two MatrixFactorizationModels that share a user and
product set.
Specifically, one model would be the "on-going" model, and the other is one
trained only on the most recent aggregation of some event data. My
Hi, I'm very much interested in using Spark's MLlib in standalone programs.
I've never used Hadoop, and don't intend to deploy on massive clusters.
Building Spark has been an honest nightmare, and I've been on and off it
for weeks.
The build always runs out of RAM on my laptop (4g of RAM, Arch Lin
