PriorLabs/TabPFN v7.1.1

on GitHub

Added

• Add modular experiment logging for finetuning with experiment_logger parameter, including WandbLogger for W&B tracking and a FinetuningLogger protocol for custom integrations. (#815)
• Add three-tier authentication flow: browser-based login for graphical environments, headless interactive login with clipboard copy for SSH/cluster sessions, and clear step-by-step instructions for fully non-interactive environments. (#862)

Changed

• • Optimize regressor predict method for memory efficiency
    • Average ensemble outputs on-the-fly instead of accumulating all outputs
    • Reduces memory usage by avoiding storage of all intermediate outputs, especially beneficial for large n_estimators (#745)

Fixed

• Fix bugs where fit_mode="fit_with_cache" produced slightly incorrect predictions in v2.5 (but not v2): thinking tokens were added twice, inference_precision flag was not applied correctly. (#852)