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TabPFN

AI Foundation model for tabular data

Texte en anglais

TabPFN (Tabular Prior-data Fitted Network) is a machine learning model for tabular datasets proposed in 2022. It uses a transformer architecture. It is intended for supervised classification and regression analysis on tabular datasets, particularly focusing on small- to medium-sized datasets.

Sur Wikipédia

Texte en anglais Pas encore d'article dans ta langue : extrait en anglais.

TabPFN (Tabular Prior-data Fitted Network) is a machine learning model for tabular datasets proposed in 2022. It uses a transformer architecture. It is intended for supervised classification and regression analysis on tabular datasets, particularly focusing on small- to medium-sized datasets. The latest version, TabPFN-3, was released in May 2026 and supports datasets with up to one million rows and 200 features.

Texte : Wikipédia en anglais, CC BY-SA 4.0. ·

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