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Creates and fully fits an ensemble model (Stack).

Source: R/h3sdm_stack_fit.R
h3sdm_stack_fit.Rd

This function combines the process of creating the model stack, optimizing the weights (blend_predictions), and fitting the base models to the complete training set (fit_members()) into a single step.

Warning: It does not follow the canonical tidymodels flow but is convenient. It requires that the fitting results were generated using h3sdm_fit_model(..., for_stacking = TRUE).

Usage

h3sdm_stack_fit(..., non_negative = TRUE, metric = NULL)

Arguments

...

List objects that are the result of h3sdm_fit_model(). Each object must contain the cv_model element (result of fit_resamples).

non_negative

Logical. If TRUE (default), forces the candidate model weights to be non-negative.

metric

The metric used to optimize the combination of weights.

Value

A list containing two elements: blended_model (the stack after blending) and final_model (a fully fitted model_stack object). The final_model is ready for direct prediction with predict().

See also

Other h3sdm_tools: h3sdm_recipe_gam(), h3sdm_workflow_gam()