Package Usage: conda: xgboost

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 (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.
7 versions
Latest release: about 1 year ago
3 dependent packages

View more package details: https://packages.ecosystem.code.gouv.fr/registries/anaconda.org/packages/xgboost