TabPFNMix Classifier TabPFNMix classifier is a tabular foundation model that is pre trained on purely synthetic datasets sampled from a mix of random classifiers. Architecture TabPFNMix is based on a 12 layer encoder decoder Transformer of 37 M parameters. We use a pre training strategy incorporating in context learning, similar to that used by TabPFN and TabForestPFN. Usage To use TabPFNMix classifier, install AutoGluon by running: A minimal example showing how to perform fine tuning and inference using the TabPFNMix classifier: Citation If you find TabPFNMix useful for your research, please consider citing the associated papers: License This project is licensed under the Apache 2.0 License.
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