deweather provides multiple 'getter' functions for extracting relevant
model features from a deweather model and/or tuning objects. These are a
useful convenience, particularly in conjunction with R's pipe
operator (|>).
Usage
get_tdw_pollutant(tdw)
get_tdw_vars(tdw)
get_tdw_engine(tdw)
get_tdw_best_params(tdw, param = NULL)
get_tdw_tuning_metrics(tdw, metric = NULL)
get_tdw_testing_metrics(tdw, metric = NULL)
get_tdw_testing_data(tdw)Arguments
- tdw
A deweather tuning object created with
tune_dw_model().- param
For
get_dw_params()andget_tdw_best_params(). The default (NULL) returns a list of model parameters.paramwill return one specific parameter as a character vector.- metric
For
get_tdw_tuning_metrics()andget_tdw_testing_metrics(). The default (NULL) returns a complete set of model parameters.metricwill return one specific parameter.metricmust be one of theopenair::aqStats()metrics forget_tdw_tuning_metrics()and one of"rmse"or"rsq"forget_tdw_testing_metrics().
Value
Typically a character vector, except:
get_tdw_testing_metrics(): a listget_tdw_best_params(): a list, unlessparamis set.get_tdw_testing_data(): adata.frame
See also
Other Object 'Getter' Functions:
get_dw_pollutant()
Examples
if (FALSE) { # \dontrun{
# tune a model
tdw <- tune_dw_model(aqroadside, "no2", trees = c(1, 5))
# extract variables, for example:
get_tdw_testing_metrics(tdw)
get_tdw_best_params(tdw)
get_tdw_testing_data(tdw)
} # }
