While there are a number of other libraries out there to help with gradient boosting or other solutions to help train machine learning systems (XGBoost being one), Bilenko argued that the benefit ...

A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...

Gradient boosting machines (GBMs) are a powerful ensemble learning technique that builds a model incrementally by combining weak models (typically decision trees) to form a strong predictive model.

Notably, the light gradient boosting machine (LGBM) model outperformed others. As a result, the LGBM model was selected as the predictive tool for assessing Gleevec adherence in patients with GIST.

Compared to existing library implementations of gradient boosting regression, a from-scratch implementation allows much easier customization and integration with other .NET systems. By James McCaffrey ...