H2OXGBoost

H2O XGBoost

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2OXGBoost

Fields

Details

XGBoost is a supervised learning algorithm that implements a process called boosting to yield accurate models. Boosting refers to the ensemble learning technique of building many models sequentially, with each new model attempting to correct for the deficiencies in the previous model.

More details are available at : https://h2o-release.s3.amazonaws.com/h2o/rel-weierstrass/2/docs-website/h2o-docs/data-science/xgboost.html