rmw_model_statistics {rmweather} | R Documentation |
Functions to extract model statistics from a model calculated with
rmw_calculate_model
.
Description
Functions to extract model statistics from a model calculated with
rmw_calculate_model
.
Usage
rmw_model_statistics(model)
rmw_model_importance(model, date_unix = TRUE)
Arguments
model |
A ranger model object from |
date_unix |
Should the |
Details
The variable importances are defined as "the permutation importance differences of predictions errors". This measure is unit-less and the values are not useful when comparing among data sets.
Value
Tibble.
Author(s)
Stuart K. Grange
Examples
# Extract statistics from the example random forest model
rmw_model_statistics(model_london)
# Extract importances from a model object
rmw_model_importance(model_london)
[Package rmweather version 0.2.6 Index]