tune.instructions: Model Optimization Instructions
Description
Provides directions for which parameters to loop over
during tuning. This becomes important when certain models can access
'lower' parameters without running them independently.
Usage
tune.instructions(method, grid)
Arguments
method
Vector of strings indicating which models will be fit
grid
A list of parameters grids to be applied to the models
Value
modelInfo
List of the following components
.
scheme: String dictating which looping scheme to apply
loop: Dataframe of parameters to loop through for each model
model: Information regarding parameters of specific model
constant: Names of the 'loop' dataframe components
vary: Indication of parameters that vary and can access recursively