caretEnsemble

Convert object to caretList object

Convert object to caretList object - For Future Use

Convert list to caretList

Convenience function for more in-depth diagnostic plots of caretEnsemble objects

Extract the best predictions from a train object

S3 definition for concatenating caretList

S3 definition for concatenating train objects

caretEnsemble: Make ensembles of caret models.

Create a list of several train models from the caret package Build a list of train objects suitable for ensembling using the caretEnsemble function.

Generate a specification for fitting a caret model

Combine several predictive models via stacking

Check row indexes

Check observeds

Check predictions

Check resamples

Checks caretList model classes

Checks that caretList models are all of the same type.

caretList of classification models

Comparison dotplot for a caretStack object

Extract the best predictions from a list of train objects

Extracts the target variable from a set of arguments headed to the caret::train function.

Extracts the target variable from a set of arguments headed to the caret::train.default function.

Extracts the target variable from a set of arguments headed to the caret::train.formula function.

Extract a dataframe of all predictors used in a caretEnsemble object.

Extract the model accuracy metrics of the individual models in an ensemble object.

Extract the method name associated with a single train object

Extracts the model types from a list of train model

Supplement the data fitted to a caret ensemble model with model fit statistics

Return the configured target binary class level

Check if an object is a caretEnsemble object

Check if an object is a caretList object

Check if an object is a caretStack object

Make a prediction matrix from a list of models

Check that the methods supplied by the user are valid caret methods

Extract accuracy metrics from a model

Calculate the residuals from all component models of a caretEnsemble.

Plot Diagnostics for an caretEnsemble Object

Plot a caretStack object

Create a matrix of predictions for each of the models in a caretList

Make predictions from a caretStack

Print a caretStack object

Calculate the residuals from a caretEnsemble.

Set the target binary class level

Index a caretList

Summarize the results of caretEnsemble for the user.

Summarize a caretStack object

Check that the trainControl object supplied by the user is valid and has defined re-sampling indexes.

Check that the tuning parameters list supplied by the user is valid

Validate arguments given as binary target level

Validate a custom caret model info list

Calculate the variable importance of variables in a caretEnsemble.

Calculate a weighted standard deviation