Closed HelloWorldLTY closed 3 weeks ago
Hi, Can you provide more detail?
If you are standardizing the whole dataset that can take a while.
Profiling your code would help you figure out where most of the compute time is spent.
Cheers!
Hi, thanks. I have ~ 2000 bags, but 28000+ features. Do you think the number of features will be a big problem here?
Also, I cannot fit my current model with one A100 80GB GPU.
Hi! in the paper we argue for unsupervised representation learning to reduce the dimensionality. What type of data is this? If it's sc-RNAseq I'd recommend for example scVI to reduce the dimensionality first.
Ok, thanks. I tried to reduce the dimensions to 256 dims but still had the same issue. Maybe I can look for other tools for dimension reduction.
Hi, I found that the initial step of this method is superly long for me. I have been waiting for one hour. Any suggestions here? Are they related to data scales? I have 276400 instances for training here.