Re: MLlib ALS MatrixFactorizationModel.save fails consistently

2016-04-08 Thread Nick Pentreath
Could you post some stack trace info? Generally, it can be problematic to run Spark within a web server framework as often there are dependency conflict and threading issues. You might prefer to run the model-building as a standalone app, or check out

MLlib ALS MatrixFactorizationModel.save fails consistently

2016-04-07 Thread Colin Woodbury
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