Contribute to TabPFN Cookbook
Bayesian Optimization with TabPFN Extensions
Use TabPFN as a Bayesian optimization surrogate via tabpfn-extensions
Experiment with Thinking Mode
Improve results of target metrics with TabPFN Thinking Mode
Faster Inference with KV Cache
Get a quick introduction into faster inference with fit_with_cache
Get Started with Predictive Distribution
Learn how to extract predictive distributions with TabPFNRegressor
Insurance Claim Modeling: TabPFN vs. GLM
Predict insurance pure premiums on zero-inflated claims data; TabPFN
Interpreting Results with TabPFN
Learn how to use the standard interpretability toolkit with TabPFN for
TabPFN vs XGBoost
Compare TabPFN results with XGBoost using an OpenML Dataset
TabPFN with MLflow
Learn how to wrap TabPFN as an MLflow PythonModel, register it to Unity Catalog, and deploy it to a Mosaic AI Model serving endpoint.