Tools for Models Available in train
These function show information about models and packages that are
accessible via train
modelLookup(model = NULL) checkInstall(pkg) getModelInfo(model = NULL, regex = TRUE, ...)
model |
a character string associated with the |
pkg |
a character string of package names. |
regex |
a logical: should a regular expressions be used? If
|
... |
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.
modelLookup produces 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? |
getModelInfo returns a list containing one or more lists of the
standard model information.
checkInstall returns not value.
The column seq is no longer included in the output of
modelLookup.
Max Kuhn
## Not run:
modelLookup()
modelLookup("gbm")
getModelInfo("pls")
getModelInfo("^pls")
getModelInfo("pls", regex = FALSE)
checkInstall(getModelInfo("pls")$library)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.