GPLVM without specifying n (or GPLVM for very large datasets) #1852
Unanswered
ManjunathSripadarao
asked this question in
Q&A
Replies: 1 comment
-
Hi @ManjunathSripadarao you can replace the line :
that should make a difference? |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hello,
I was looking at the GPLVM example here and in the case of very large datasets, n is very large.
Is it possible to setup a model where the n need not be specified ? As the data streams in the model is built ? Or some sort of a sparse model ? I have a dataset that runs into 100s of GBs and it has each datapoint being 480-520 dimensions and I want to compress it to 64 dimensions (or lesser). Also my batch size is around 2048 if that makes any difference (I can go lower too).
@vr308 @gpleiss ?
Sorry if this question is already answered or is irrelevant. One requirement is that we want to use a GPLVM or a GP model for this, not a neural network. Something where we can characterize uncertainty...
Thanks in advance.
Beta Was this translation helpful? Give feedback.
All reactions