rmw_model_nested_sets {rmweather}

Function to train random forest models using a nested tibble.

Description

Function to train random forest models using a nested tibble.

Usage

rmw_model_nested_sets(
  df_nest,
  variables,
  n_trees = 10,
  mtry = NULL,
  min_node_size = 5,
  n_cores = NA,
  verbose = FALSE,
  progress = FALSE
)

Arguments

df_nest

Nested tibble created by rmw_nest_for_modelling.

variables

Independent/explanatory variables used to predict "value".

n_trees

Number of trees to grow to make up the forest.

mtry

Number of variables to possibly split at in each node. Default is the (rounded down) square root of the number variables.

min_node_size

Minimal node size.

n_cores

Number of CPU cores to use for the model calculations.

verbose

Should the function give messages?

progress

Should a progress bar be displayed?

Value

Nested tibble.

Author(s)

Stuart K. Grange

See Also

rmw_nest_for_modelling, rmw_predict_nested_sets, rmw_train_model