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From Wouter Samaey <wouter.sam...@storefront.be>
Subject Is it possible to do incremental training using ALSModel (MLlib)?
Date Fri, 02 Jan 2015 09:40:28 GMT
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



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