Contribute to TabPFN Cookbook
Get Started with TabPFN 3.5
Get started with TabPFN 3.5 and compare its predictive quality and inference
Predict Restaurant Ratings with TabPFN 3.5
Compare TabPFN 3.5 and TabPFN 3 with and without thinking, plus default
Bayesian Optimization with TabPFN Extensions
Use TabPFN as a Bayesian optimization surrogate via tabpfn-extensions
Credit Card Fraud Detection with TabPFN
Flag fraudulent card transactions on the Kaggle credit card fraud dataset
Experiment with Thinking Mode
Choose a Thinking objective and use group_col for repeated measurements
Faster Inference with KV Cache
Get a quick introduction into faster inference with fit_with_cache
Fitting Large Datasets in Limited Memory
Manage TabPFN memory use with training subsampling, test-set chunking,
Forecast Daily Spare-parts Demand with TabPFN
Compare local and pooled TabPFN regressors on synthetic demand from German
Forecast Related Time Series with TabPFN 3.5
Build date, Fourier, and autoregressive features, then compare individual,
Generate Synthetic Data Using Real Data with TabPFN
Sample new rows that mirror the statistics of an existing table
Get Started with Predictive Distribution
Learn how to extract predictive distributions with TabPFNRegressor
Grouped data: TabPFN 3 vs 3.5 vs XGBoost
Compare models on mice protein measurements, using grouped splits to
Improving TabPFN Performance with Thinking Mode
Compare baseline TabPFN and thinking mode on two binary classification
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
Interpreting Time-Series Forecasts with TabPFN-TS
Explain what drives a TabPFN-TS forecast with partial dependence, Window
Predicting from Images and Tabular Data Together
Put chest X-rays in a DataFrame column next to patient fields, and let
Predictions over Relational Data with TabPFN-Rel
Get started with RelArena & TabPFN-Rel, a TabPFN Harness
Pretrain a Tabular Foundation Model from Scratch
Build a small TabPFN-style model, generate synthetic pretraining tables
See Which Training Rows Drive a TabPFN Prediction
Interpret TabPFN predictions as weighted votes from training rows with
TabPFN Quickstart
Classification and regression with TabPFN.
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.
Time-Series Forecasting with TabPFN
Forecast univariate and multivariate time series with the TabPFN time-series
When agents should use Jev vs. TabPFN?
Compare Jev’s fraud predictions with TabPFN-3.5-Plus.