This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...

This is a low-level implementation of the Largest-Triangle-Three-Buckets (LTTB) downsampling algorithm written in Python. The code has been translated from the work ...

Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...

GPBoost is an approach and a software library aimed at combining tree-boosting with mixed-effects models and Gaussian Process (GP); hence the name ‘GP + Tree-Boosting’. GPBoost merges tree-boosting ...