caretEnsemble-package | Combine several predictive models via weights |
as.caretList | Convert object to caretList object |
as.caretList.default | Convert object to caretList object - For Future Use |
as.caretList.list | Convert list to caretList |
autoplot.caretStack | Convenience function for more in-depth diagnostic plots of caretStack objects |
c.caretList | S3 definition for concatenating caretList |
c.train | S3 definition for concatenating train objects |
caretEnsemble | Combine several predictive models via weights |
caretList | Create a list of several train models from the caret package |
caretModelSpec | Generate a specification for fitting a caret model |
caretStack | Combine several predictive models via stacking |
defaultControl | Construct a default train control for use with caretList |
defaultMetric | Construct a default metric |
dotplot.caretStack | Comparison dotplot for a caretStack object |
extractMetric | Generic function to extract accuracy metrics from various model objects |
extractMetric.caretList | Extract accuracy metrics from a 'caretList' object |
extractMetric.caretStack | Extract accuracy metrics from a 'caretStack' object |
extractMetric.train | Extract accuracy metrics from a 'train' model |
greedyMSE | Greedy optimization for MSE |
greedyMSE_caret | caret interface for greedyMSE |
permutationImportance | Permutation Importance |
plot.caretList | Plot a caretList object |
plot.caretStack | Plot a caretStack object |
predict.caretList | Create a matrix of predictions for each of the models in a caretList |
predict.caretStack | Make predictions from a caretStack |
predict.greedyMSE | Predict method for greedyMSE |
print.caretStack | Print a caretStack object |
print.greedyMSE | Print method for greedyMSE |
print.summary.caretList | Print a summary.caretList object |
print.summary.caretStack | Print a summary.caretStack object |
summary.caretList | Summarize a caretList |
summary.caretStack | Summarize a caretStack object |
tuneCheck | Check that the tuning parameters list supplied by the user is valid |
varImp.caretStack | Variable importance for caretStack |
varImp.greedyMSE | variable importance for a greedyMSE model |
wtd.sd | Calculate a weighted standard deviation |
[.caretList | Index a caretList |