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06-05-2016
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09-07-2016
12:58 AM
Okay, so for example: I build model for the first on 1year history data (I am ingesting 1year history in first training), but I have max-age-data-hour setup to 3months. What will happen in this case? Or, if this option is setup to 3months batch layer will read only 3months of data from kafka based on timestamp of data?
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09-07-2016
12:52 AM
So, if I am right, these max age parameters will not affect created/updated model in any way right? These parameters are basically affecting only storage usage by Oryx. Correct me if I am wrong please.
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09-06-2016
02:27 AM
Hi guys, could some of you explain to me purpose and how does max-age-data-hours and max-age-model-hours works? For example I set max-age-data-hours to 7 days and max-age-model-hours to 31 days. How will this act in practice? Thanks, Matus
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08-18-2016
12:53 AM
Hi guys, could some of you explain to me in a detail how does the data expiration works? How is it with for example 10d old data? Thanks in advance, Matus
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06-07-2016
12:50 AM
Hi, thank you for quick reply. I am quite new in recommendation domain. What exactly mean latent features?
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06-05-2016
02:54 AM
Hi, I need help with understanding basics of Oryx ALS Collaborative filtering essentials. What exactly means "features", for example each user has 10 features and also each item has 10 features, some of them positive, some negative numbers. First I thought it represents matrix user-item, but I have more than 10 users and more than 10items. When ingesting or learning new model, there is by default weight set to 1. Imagine I have various rating of movies, where 1 represents bad rating and 5 great rating. What weight should I set? I have tried to undestrand source code from which it seemed to me that weight should be in interval (0,1). Thank you for help!
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