There is a JIRA for it: https://issues.apache.org/jira/browse/SPARK-4981
On Fri, Jan 2, 2015 at 8:28 PM, Peng Cheng <rhw...@gmail.com> wrote: > I was under the impression that ALS wasn't designed for it :-< The famous > ebay online recommender uses SGD > However, you can try using the previous model as starting point, and > gradually reduce the number of iteration after the model stablize. I never > verify this idea, so you need to at least cross-validate it before putting > into productio > > On 2 January 2015 at 04:40, 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 to >> consider the latest data without complete re-training phase. >> >> I've checked out these resources, but could not find any info on how to >> solve this: >> https://spark.apache.org/docs/latest/mllib-collaborative-filtering.html >> >> http://ampcamp.berkeley.edu/big-data-mini-course/movie-recommendation-with-mllib.html >> >> My question fits in a larger picture where I'm using Prediction IO, and >> this >> in turn is based on Spark. >> >> Thanks in advance for any advice! >> >> Wouter >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Is-it-possible-to-do-incremental-training-using-ALSModel-MLlib-tp20942.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> >
