Oryx: API method unavailable until model has been built and loaded

[#1]

Hello 

- I start computation & serving layer, and setup in collaborative filtering as desribed in Cloudera example

model=${als-model}
model.instance-dir=/tmp/oryx/example
model.local-computation=true
model.local-data=true
model.features=25
model.lambda=0.065

- l start calling /pref API to add some data (e.g.: /pref/user1/xxxx), and thus many time in order to get some data in Oryx.

- Therefore, each time I call /recommend/user1, I got 503 error, "com.cloudera.oryx.als.common.NotReadyException: API method unavailable until model has been built and loaded"

So does I miss something ?

Regards

PS: the servers are working corretly with the sample data (audioscrobbler), but my error occurs on a fresh new install starting from 0.

[#2 · Accepted solution]

I would simply call /refresh after you have ingested whatever data you have already. It sounds like you want it to just start with what data it has at a certain point, and that is part of what /refresh does. After that, let it rebuild automatically.

The properties are model.time-threshold and model.data-threshold. These are measured in minutes, and megabytes. A rebuild happens when either threshold is exceeded -- time elapsed, data written.

Actually, I misspoke; these default to -1, meaning, do not use a threshold. By default it would not rebuild except on demand. So you should set at least one of these to match your requirements.

Also, note that if you start the Computation Layer and there is no model, and the first generation has any data, it will force itself to run. So you could also simply stuff your data in the generation 00000/inbound dir ahead of time.

[#3 · Accepted solution]

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.

[#4 · Accepted solution]

This is good. There is no performance difference between computing 10 and 100 recommendations since it still considers all non-filtered items each time. (OK I suppose it takes a tiny bit longer to send 100 results over the network than 10.) The results are not precomputed but computed on the fly each time.

[#5]

Hello
where can I find this "model.time-threshold" & " model.data-threshold" ? they are not in the config file...so I dot know where to find them
thanx

[#6]

This concerns version 1.x by the way. The config elements in question are here: https://github.com/cloudera/oryx/blob/master/common/src/main/resources/reference.conf#L136