H2OGBM

H2O GBM

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2OGbm

Fields

Details

Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset in a fully distributed way - each tree is built in parallel.

More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/gbm.html