Ensembles of Caret Models
Aggregate mean or first
Convert object to caretList object - For Future Use
Convert list to caretList
Convert object to caretList object
Convenience function for more in-depth diagnostic plots of caretStack ...
S3 definition for concatenating caretList
S3 definition for concatenating train objects
Combine several predictive models via weights
Create a list of several train models from the caret package
Generate a specification for fitting a caret model
Prediction wrapper for train
Combine several predictive models via stacking
Wrapper to train caret models
Check caretStack object
Validate a custom caret model info list
Construct a default train control for use with caretList
Construct a default metric
Comparison dotplot for a caretStack object
Drop Excluded Class
Extract the best predictions from a train object
Extracts the target variable from a set of arguments headed to the car...
Extracts the target variable from a set of arguments headed to the car...
Extracts the target variable from a set of arguments headed to the car...
Extract accuracy metrics from a caretList object
Extract accuracy metrics from a caretStack object
Generic function to extract accuracy metrics from various model object...
Extract accuracy metrics from a train model
Extract the method name associated with a single train object
caret interface for greedyMSE
Greedy optimization for MSE
Is Classifier
Validate a model type
Compute MAE
Check that the methods supplied by the user are valid caret methods
Normalize to One
Permutation Importance
Plot a caretList object
Plot a caretStack object
Create a matrix of predictions for each of the models in a caretList
Make predictions from a caretStack
Predict method for greedyMSE
Print a caretStack object
Print method for greedyMSE
Print a summary.caretList object
Print a summary.caretStack object
Set excluded class id
Shuffled MAE
Extracted stacked residuals for the autoplot
Index a caretList
Summarize a caretList
Summarize a caretStack object
Check that the tuning parameters list supplied by the user is valid
Validate the excluded class
Variable importance for caretStack
variable importance for a greedyMSE model
Calculate a weighted standard deviation
Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model.
Useful links