Member since
07-29-2013
366
Posts
69
Kudos Received
71
Solutions
My Accepted Solutions
Title | Views | Posted |
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5086 | 03-09-2016 01:21 AM | |
4298 | 03-07-2016 01:52 AM | |
13533 | 02-29-2016 04:40 AM | |
4016 | 02-22-2016 03:08 PM | |
5014 | 01-19-2016 02:13 PM |
02-08-2014
07:57 AM
Thanks James, I got the data. FWIW, it built successfully locally, which is at least good. That is not a solution, but might get you moving. I ran the data on Hadoop (CDH5) and uncovered a different problem, which I fixed: https://github.com/cloudera/oryx/commit/fee977f6a682ba6a2e8c2e48275cb4dc5718c8b2 It is basically an artifact of having virtually all even IDs. That shouldn't be a problem of course. It ran successfully after that. Is the data you showed me the same as what you're running, or a sample (or redacted)? Just want to rationalize why you didn't see the error I did and then see if that has any clue to why it works for me.
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02-08-2014
05:00 AM
1 Kudo
OK, the problem turned out to be that the # of features was too high for the tiny amount of data. The model was being built but rejected. It does log a message to this effect when this happens.
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02-08-2014
04:45 AM
/refresh can't throw a 503 error, at least, I can't see any way for it to do so. Are you sure you are not calling /ready? Can you please provide logs that are printed after calling /refresh? or really, all your logs. You can mail them directly to me if you like at sowen @ cloudera
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02-08-2014
04:40 AM
Sorry, your question is not clear at all and I can't help. As I've said, it is not different with CDH. You have not said what your error is when you run the very command you cited.
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02-08-2014
04:38 AM
See my previous message. Did you ever call /refresh? or set a threshold that you have definitelye exceeded? A model won't get built otherwise. The behavior is different, yes.
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02-07-2014
01:32 PM
Nah, I've just heard this or a variant a few times now. Time to make a FAQ item... Thanks!
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02-07-2014
12:13 PM
1 Kudo
What is your config like? By any chance have you written model=als-model instead of model=${als-model} ?
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02-07-2014
12:09 PM
Thanks James, I'm sowen at cloudera. It sounds like something I will have to debug as it's either quite subtle or a bug in the program. I'll solve it this weekend.
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02-06-2014
03:32 PM
I would use 100% of the data, yes, but I don't think that should make a big difference The number of items is low, but not that low. Is there any reason to think the items are very 'redundant'? This is strange enough that I think there may be a bug somewhere. Is this data you can share, in anonymized form, offline? I am wondering whether the singularity threshold needs to be configurable. I would still try turning down lambda / features to get it going, although I still am not seeing a reason why it should be necessary.
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02-06-2014
12:32 PM
Hmm. How much data are we talking about? you're building the model on the same data you optimized from? How many unique users and items? The general remedy is fewer features and lower lambda, but it can't be right that the optimizer is fine with this while the model build isn't fine with any of those values. Something is not right here...
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