ianhill60

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I have a very similar question: Does Gpytorch support batching for correlated multitask regression? Would you use a MultitaskVariationalStrategy to do that? I stumbled across this tds article that may...

Thanks for getting back! Does my error have to do with how I induce the model? Here is my code and a data sample for testing: https://github.com/ianhill60/gprsampledataset/blob/7de2aa26288e6bd95d1e5772fcab81dc1d165b6a/multitaskBatched.py https://github.com/ianhill60/gprsampledataset/blob/a52c97f45ddb065dac8e9e32b2ce54c7afec3a02/xdf.csv https://github.com/ianhill60/gprsampledataset/blob/a52c97f45ddb065dac8e9e32b2ce54c7afec3a02/ydf.csv The...

Thanks for the helpful response wjmaddox! I applied this approach to my problem, but am still running into memory overflow errors even with batching. https://github.com/ianhill60/gprsampledataset/blob/69359be7f70c4325f004d2cbcb44ebd4d1fca1dc/VariationalMultitaskApplication.py What am I missing? I'm...

Thanks gpleiss! I implemented kmeans to learn inducing locations and used 1000 points. Model results improved but asymptote quickly (the loss starts at about 7, gets to a loss of...

Thank you gpleiss! I noticed that increasing the number of latent functions learned to correlate tasks increased my prediction accuracy and need for more data. Is there a 'right' number...

I'm also curious if anyone has implemented slider masking? Does masking occur on the test set? I'd like to control the masking of the test samples so that only the...

Thanks for the help George! I think I can say with decent confidence that your model works for binary data. My data preprocessing was representing 0s as NaNs. There are...

I'm also receiving this issue - commenting to stay updated.