h2o.getModelTree: Fetchces a single tree of a H2O model. This function is...

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models.

Description

Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models.

Usage

h2o.getModelTree(
  model,
  tree_number,
  tree_class = NA,
  plain_language_rules = "AUTO"
)

Arguments

model	Model with trees
tree_number	Number of the tree in the model to fetch, starting with 1
tree_class	Name of the class of the tree (if applicable). This value is ignored for regression and binomial response column, as there is only one tree built. As there is exactly one class per categorical level, name of tree's class equals to the corresponding categorical level of response column.
plain_language_rules	(Optional) Whether to generate plain language rules. AUTO by default, meaning FALSE for big trees and TRUE for small trees.

Value

Returns an H2OTree object with detailed information about a tree.

Examples

## Not run: 
library(h2o)
h2o.init()

f <- "https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_train.csv"
iris <- h2o.importFile(f)
gbm_model <- h2o.gbm(y = "species", training_frame = iris)
tree <- h2o.getModelTree(gbm_model, 1, "Iris-setosa")

## End(Not run)

h2o documentation built on Aug. 9, 2023, 9:06 a.m.