If I am understanding the question correctly, you want to update backfill data more frequently than a full model train (the CCO calculations). To do this you can swap out your engine.json file and specify the engine to only calculate the backfill data. This will update the existing model rather than replace it. Details can be found in ActionML’s Advanced Tuning documentation (http://actionml.com/docs/ur_advanced_tuning <http://actionml.com/docs/ur_advanced_tuning>) under “Update the Popularity Model Only”.
— Matthew Peychich > On Jun 20, 2018, at 8:34 AM, George Yarish <gyar...@griddynamics.com> wrote: > > Hi! > > Not sure this is correct place to ask, since my question correspond to UR > specifically, not to pio itself I guess. > > Anyway, we are using UR template for predictionio and we are about to use > trending ranking for sorting UR output. If I understand it correctly ranking > is created during training and stored in ES. Our training takes ~ 3 hours and > we launch it daily by scheduler but for trending rankings we want to get > actual information every 30 minutes. > > That means we want to separate training (scores calculation) and ranking > calculation and launch them by different schedule. > > Is there any easy way to achieve it? Does UR supports something like this? > > Thanks, > George
