Tools for Models Available in
These function show information about models and packages that are accessible via
modelLookup(model = NULL)
getModelInfo(model = NULL, regex = TRUE, ...)
- a character string associated with the
train. If no value is passed, all models are returned. For
getModelInfo, regular expressions can be used.
- a logical: should a regular expressions be used? If
FALSE, a simple match is conducted against the whole name of the model.
- a character string of package names.
- options to pass to
modelLookup is good for getting information related to the tuning parameters for a model.
getModelInfo will return all the functions and metadata associated with a model. Both of these functions will only search within the models bundled in this package.
checkInstall will check to see if packages are installed. If they are not and the session is interactive, an option is given to install the packages using
install.packages using that functions default arguments (the missing packages are listed if you would like to install them with other options). If the session is not interactive, an error is thrown.
modelLookupproduces a data frame with columns
model a character string for the model code parameter the tuning parameter name label a tuning parameter label (used in plots) forReg a logical; can the model be used for regression? forClass a logical; can the model be used for classification? probModel a logical; does the model produce class probabilities?
getModelInforeturns a list containing one or more lists of the standard model information.
checkInstallreturns not value.
seq is no longer included in the output of
modelLookup() modelLookup("gbm") getModelInfo("pls") getModelInfo("^pls") getModelInfo("pls", regex = FALSE) checkInstall(getModelInfo("pls")$library)
Actually example doesn't work for me this one works: ```r checkInstall(getModelInfo("OneR")[["OneR"]][["library"]]) ```