rmweather (version 0.2.62)

rmw_predict_nested_sets: Function to make predictions from a random forest models using a nested tibble.

Description

Function to make predictions from a random forest models using a nested tibble.

Usage

rmw_predict_nested_sets(
  df_nest,
  se = FALSE,
  n_cores = NULL,
  keep_vectors = FALSE,
  model_errors = FALSE,
  as_long = TRUE,
  partial = FALSE,
  verbose = FALSE,
  progress = FALSE
)

Value

Nested tibble.

Arguments

df_nest

Nested tibble created by rmw_model_nested_sets.

se

Should the standard error of the predictions be calculated?

n_cores

Number of CPU cores to use for the model calculations.

keep_vectors

Should the prediction vectors be kept in the return? This is usually not needed because these vectors have been added to the observations variable.

model_errors

Should model error statistics between the observed and predicted values be calculated and returned?

as_long

For when model_errors is TRUE, should the model error unit be returned in "long format"?

partial

Should the model's partial dependencies also be calculated? This will increase the execution time of the function.

verbose

Should the function give messages?

progress

Should a progress bar be displayed?

Author

Stuart K. Grange

See Also

rmw_nest_for_modelling, rmw_model_nested_sets, rmw_predict, rmw_calculate_model_errors, rmw_partial_dependencies