330 xgboost(1) - Kailash Tool Reference
330.1 xgboost
xgboost - XGBoost — distributed gradient-boosted decision trees.
| Layer | OPS |
| Category | o-01-mlops-ml-engineering |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/dmlc/xgboost |
330.1.1 NAME
xgboost - XGBoost — distributed gradient-boosted decision trees.
330.1.2 SYNOPSIS
Not derived automatically - see upstream documentation. This page does not hand-copy flags (generation contract, ADR-0001).
330.1.3 DESCRIPTION (upstream)
=========== Blog | Documentation | Resources | Contributors | XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (K
330.1.4 SEE ALSO
- Category: o-01-mlops-ml-engineering in the category directory (sister tools listed there).
ref: pin - verified 2026-10-14