H2ODRF

H2O DRF

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2ODrf

Fields

Details

Distributed Random Forest (DRF) is a powerful classification and regression tool. When given a set of data, DRF generates a forest of classification or regression trees, rather than a single classification or regression tree. Each of these trees is a weak learner built on a subset of rows and columns. More trees will reduce the variance. Both classification and regression take the average prediction over all of their trees to make a final prediction, whether predicting for a class or numeric value.

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