TALENT
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A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
The implementation from yandex is wrong, and I have raised an issue to their repo. Please refer to it.
Hi @6sy666 š¤ Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to [hf.co/papers](https://hf.co/papers)...
Hello, Iām using the following wrapper for models from your repository in my benchmark. When I compare the rankings on classification and regression datasets separately, I observe a significant drop...
Fitting a TabPFN results in the invocation of a validation function `_validate_data` for the `'TabPFNClassifier` class, which has no such method. Results in an exception. For reference, see [lib.pfn_v2.tabpfn.utils.py#L474](https://github.com/LAMDA-Tabular/TALENT/blob/main/TALENT/model/lib/pfn_v2/tabpfn/utils.py#L474)
Hi! Thank you for your work on this project ā it has been incredibly valuable for research involving tabular models. I noticed that, currently, there doesn't appear to be native...