Package index

Constructor and methods for `caret_list`

caret_list(): Construct a caret_list object
predict(<caret_list>): Predict from a caret_list
oof_predictions(<caret_list>): Out-of-fold predictions from a caret_list
summary(<caret_list>): Provide a summary of the best tuning parameters and resampling metrics for all the caret_list models.

caret_stack(): Construct a caret_stack object.
predict(<caret_stack>): Create a matrix of predictions for a caret_stack object.
oof_predictions(<caret_stack>): Out-of-fold predictions from a caret_stack
summary(<caret_stack>): Get a summary of a caret_stack object
plot_roc(<caret_stack>): Plot ROC curves for individual and ensemble models in a caret_stack
compute_metric(<caret_stack>): Compute metrics with a provided metric function
plot_metric(<caret_stack>): Plot metrics computed with a provided metric function
compute_model_contributions(<caret_stack>): Compute the relative contributions of each of the base models in the ensemble model
plot_model_contributions(<caret_stack>): Plot the relative contributions of each of the base models in the ensemble model
compute_ablation(<caret_stack>): Perform an ablation analysis for a caret_stack
plot_ablation(<caret_stack>): Make a bar plot of an ablation analysis for a caret_stack.
compute_feature_contributions(<caret_stack>): Compute the feature level contributions for a caret_stack.
plot_feature_contributions(<caret_stack>): Make a bar plot of feature level for a caret_stack.

prepare_mae(): Prepare a MultiAssayExperiment for use with caretMultimodal