#tabpfn — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tabpfn, aggregated by home.social.
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We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package.
https://tidyverse.org/blog/2026/03/tabpfn-0-1-0/
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
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We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package.
https://tidyverse.org/blog/2026/03/tabpfn-0-1-0/
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
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Ein Team um Frank Hutter, Professor für #MaschinellesLernen an der #UniFreiburg, erleichtert und verbessert mit dem KI-Modell #TabPFN, Lücken in Datensätzen zu füllen oder Ausreißer zu erkennen.
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Ein Team um Frank Hutter, Professor für #MaschinellesLernen an der #UniFreiburg, erleichtert und verbessert mit dem KI-Modell #TabPFN, Lücken in Datensätzen zu füllen oder Ausreißer zu erkennen.
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Been expanding work benchmarking #TabPFN against more standard #tabular classification methods.
Here’s a comparison of training accuracy on Census data as a function of training set size. #XGBoost produces equal accuracy to TabPFN’s max training size using just 500 records - half(!) as many!
XGB does 1.5% better on an equal training set size (1024), and 5% better using the full data (30k points).