June 2026 Monthly Summary for PriorLabs/TabPFN: Key feature delivered: Prediction Distribution Visualization for Regression. Introduced a visualization utility to plot predicted distributions of regression outputs, enhancing interpretability of model predictions. Commits: 7bb4bbbe7fdaed397ac8b2841761709f55515549. Major bugs fixed: None reported this month. Overall impact: Improved transparency and validation of regression models, enabling data-driven decisions and stronger stakeholder confidence in model outputs. Technologies/skills demonstrated: Python-based visualization tooling, data visualization best practices, git-based collaboration, and feature delivery in a research-to-production workflow.

May 2026 monthly summary for PriorLabs ML initiatives. Focused on licensing compliance, benchmarking workflow, and extensibility of TabPFN tools. Delivered standardized licensing across codebase, a reproducible benchmarking framework comparing TabPFN to XGBoost on German Credit Data, and enhanced extension support with documentation and a scikit-learn compatible interface. These efforts improve compliance, benchmark reliability, and usability for data scientists and product teams.