build_rf: build random forest classifier

In seer: Feature-Based Forecast Model Selection

build random forest classifier

Description

train a random forest model and predict forecast-models for new series

Usage

build_rf(
  training_set,
  testset = FALSE,
  rf_type = c("ru", "rcp"),
  ntree,
  seed,
  import = FALSE,
  mtry = 8
)

Arguments

training_set	data frame of features and class labels
testset	features of new time series, default FALSE if a testset is not available
rf_type	whether ru(random forest based on unbiased sample) or rcp(random forest based on class priors)
ntree	number of trees in the forest
seed	a value for seed
import	Should importance of predictors be assessed?, TRUE of FALSE
mtry	number of features to be selected at each node

Value

a list containing the random forest and forecast-models for new series

seer documentation built on Oct. 1, 2022, 9:06 a.m.