Tidy Model Stacking
Add model definitions to a data stack
Augment a model stack
Plot results of a stacked ensemble model.
Axing a model_stack.
Determine stacking coefficients from a data stack
Creates an R expression for a linear predictor from a data frame of te...
Collect candidate parameters and stacking coefficients
Control wrappers
Example Objects
Fit model stack members with non-zero stacking coefficients
Obtain prediction equations for all possible values of type
Predicting with a model stack
Predicting with a model stack
Convert one or more linear predictor to a format used for prediction
Objects exported from other packages
Convert one or more linear predictor to a format used for prediction
stacks: Tidy Model Stacking
Initialize a Stack
Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Useful links