rmw_model_statistics: Functions to extract model statistics from a model calculated...
In skgrange/rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data
View source: R/rmw_model_statistics.R
rmw_model_statistics 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 rmw_calculate_model.
date_unix
Should the date_unix variable be included in the
return?
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)
skgrange/rmweather documentation built on Nov. 29, 2023, 2:39 a.m.
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View source: R/rmw_model_statistics.R
| rmw_model_statistics | 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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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