ModelCompareNNforCaret.Rd
R6 class ModelCompareMultivariate
R6 class ModelCompareMultivariate
tswgewrapped::ModelCompareBase
-> ModelCompareNNforCaret
Inherited methods
new()
Initialize an object to compare several Univatiate Time Series Models
ModelCompareNNforCaret$new(data = NA, var_interest = NA, mdl_list, verbose = 0)
data
The dataframe containing the time series realizations (data should not contain time index)
var_interest
The output variable of interest (dependent variable)
mdl_list
A single caret model (which may contain results of grid or random search)
verbose
How much to print during the model building and other processes (Default = 0)
A new `ModelCompareNNforCaret` object.
get_var_interest()
Returns the dependent variable name
ModelCompareNNforCaret$get_var_interest()
The dependent variable name
get_data_var_interest()
Returns the dependent variable data only
ModelCompareNNforCaret$get_data_var_interest()
The dependent variable data only
get_best_model_id()
Returns the model ID for the best model from the search
ModelCompareNNforCaret$get_best_model_id()
The model ID for the best model from the search
summarize_build()
Not applicable for the nnfor::mlp models, since we are passing already build models
ModelCompareNNforCaret$summarize_build()
clone()
The objects of this class are cloneable with this method.
ModelCompareNNforCaret$clone(deep = FALSE)
deep
Whether to make a deep clone.