Accelerating the Training of Tree-Based Machine Learning Algorithms for Edge Systems
Tree-based algorithms, such as XGBOOST – an open source implementation of Gradient Boosted Decision Trees (GBDT) – are ubiquitous for many Machine Learning (ML) tasks, especially when dealing with tabular/structured data and requir- ing explainability. As dataset size continues to grow, training ensembles of trees (ran...