Modeler-class: Class "Modeler"

In Modeler: Classes and Methods for Training and Using Binary Prediction Models

Description

The Modeler class represents (parametrized but not yet fit) statistical models that can predict binary outcomes.

Objects from the Class

Objects can be created by calls to the constructor fuinction, Modeler.

Slots

learnFunction:

Object of class "function" that is used to fit the model to a data set. See learn for details.

predictFunction:

Object of class "function" that is used to make predictions on new data from a fitted model. See predict for details.

paramList:

Object of class "list" that contains parameters that are specific for one type of classifier.

Methods

No methods are defined with class "Modeler" in the signature. The only function that can be applied to a Modeler object is learn, which has not been made into a generic funtion.

Author(s)

Kevin R. Coombes <[e-mail]>

See Also

See the description of the FittedModel-class for details about the kinds of objects produced by learn.

Examples

showClass("Modeler")

Example output

Loading required package: ClassDiscovery
Loading required package: cluster
Loading required package: oompaBase
Loading required package: ClassComparison
Class "Modeler" [package "Modeler"]

Slots:
                                                      
Name:    learnFunction predictFunction       paramList
Class:        function        function            list

Modeler documentation built on May 7, 2019, 1:03 a.m.