FittedModel-class {Modeler} | R Documentation |
Class "FittedModel"
Description
Objects of this class represent parametrized statistical
models (of the Modeler-class
) after they have been fit
to a training data set. These objects can be used to
predict
binary outcomes on new test data sets.
Objects from the Class
Objects can be created by calls to the constructor function,
FittedModel
. In practice, however, most
FittedModel
objects are created as the result of applying the
learn
function to an object of the
Modeler-class
.
Slots
predictFunction
:Object of class
"function"
that implemnts the ability to make predictions using the fitted model.trainData
:Object of class
"matrix"
containing the trainng data set. Rowes are features and columns are samples.trainStatus
:Object of class
"vector"
. Should either be a numeric vector representing outcome or a factor with two levels, containing the classes of the training data set.details
:Object of class
"list"
containing the fitted parameters for the specific model.extras
:Object of class
"list"
containing any extra information (such as diagnostics) produced a a result of learning the model from the training data set.fsVector
:Logical vector indicating which features should be retained (TRUE) of discared (FALSE) after performing featgure selection on the training data.
Methods
- predict
signature(object = "FittedModel")
: Predict the binary outcome on a new data set.
Author(s)
Kevin R. Coombes <krcoombes@mdanderson.org>
See Also
See Modeler-class
and learn
for details on
how to fit a model to data.
Examples
showClass("FittedModel")