Man pages for caretEnsemble
Ensembles of Caret Models
| 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 | Convenience function for more in-depth diagnostic plots of... |
| bestPreds | Extract the best predictions from a train object |
| caretEnsemble | caretEnsemble: Make ensembles of caret models. |
| 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 |
| c.caretList | S3 definition for concatenating caretList |
| check_bestpreds_indexes | Check row indexes |
| check_bestpreds_obs | Check observeds |
| check_bestpreds_preds | Check predictions |
| check_bestpreds_resamples | Check resamples |
| check_caretList_classes | Checks caretList model classes |
| check_caretList_model_types | Checks that caretList models are all of the same type. |
| c.train | S3 definition for concatenating train objects |
| data | caretList of classification models |
| dotplot.caretStack | Comparison dotplot for a caretStack object |
| extractBestPreds | Extract the best predictions from a list of train objects |
| extractCaretTarget | Extracts the target variable from a set of arguments headed... |
| extractCaretTarget.default | Extracts the target variable from a set of arguments headed... |
| extractCaretTarget.formula | Extracts the target variable from a set of arguments headed... |
| extractModelName | Extract the method name associated with a single train object |
| extractModelTypes | Extracts the model types from a list of train model |
| extractModFrame | Extract a dataframe of all predictors used in a caretEnsemble... |
| extractModRes | Extract the model accuracy metrics of the individual models... |
| fortify | Supplement the data fitted to a caret ensemble model with... |
| getBinaryTargetLevel | Return the configured target binary class level |
| is.caretEnsemble | Check if an object is a caretEnsemble object |
| is.caretList | Check if an object is a caretList object |
| is.caretStack | Check if an object is a caretStack object |
| makePredObsMatrix | Make a prediction matrix from a list of models |
| methodCheck | Check that the methods supplied by the user are valid caret... |
| metrics | Extract accuracy metrics from a model |
| multiResiduals | Calculate the residuals from all component models of a... |
| plot.caretEnsemble | Plot Diagnostics for an caretEnsemble Object |
| plot.caretStack | Plot a caretStack object |
| predict.caretList | Create a matrix of predictions for each of the models in a... |
| predict.caretStack | Make predictions from a caretStack |
| print.caretStack | Print a caretStack object |
| residuals.caretEnsemble | Calculate the residuals from a caretEnsemble. |
| setBinaryTargetLevel | Set the target binary class level |
| sub-.caretList | Index a caretList |
| summary.caretEnsemble | Summarize the results of caretEnsemble for the user. |
| summary.caretStack | Summarize a caretStack object |
| trControlCheck | Check that the trainControl object supplied by the user is... |
| tuneCheck | Check that the tuning parameters list supplied by the user is... |
| validateBinaryTargetLevel | Validate arguments given as binary target level |
| validateCustomModel | Validate a custom caret model info list |
| varImp.caretEnsemble | Calculate the variable importance of variables in a... |
| wtd.sd | Calculate a weighted standard deviation |
