Hi there,
First off, I want to say that neighbors is a fantastic tool for recovering missing data! The framework is intuitive and incredibly useful for various applications.
I’d like to request the addition of TabPFN (repo, paper) to neighbors. TabPFN is a transformer-based model that performs tabular classification with a single forward pass, without requiring per-dataset training. It has been shown to be highly effective, especially for small datasets.
Would it be possible to integrate TabPFN as an additional model within neighbors? I believe this would greatly enhance the functionality for users working with tabular data.
Looking forward to your thoughts!
Thanks!
Hi there,
First off, I want to say that neighbors is a fantastic tool for recovering missing data! The framework is intuitive and incredibly useful for various applications.
I’d like to request the addition of TabPFN (repo, paper) to neighbors. TabPFN is a transformer-based model that performs tabular classification with a single forward pass, without requiring per-dataset training. It has been shown to be highly effective, especially for small datasets.
Would it be possible to integrate TabPFN as an additional model within neighbors? I believe this would greatly enhance the functionality for users working with tabular data.
Looking forward to your thoughts!
Thanks!