FittedModel: Creating FittedModel objects

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

Description

Construct an object of the FittedModel-class.

Usage

FittedModel(predict, data, status, details, ...)

Arguments

predict	A function that applies the model to predict outcomes on new test data.
data	A matrix containing the training data.
status	A vector containing the training outcomes, which should either be a binary-valued factor or a numeric vector of contiuous outcomes.
details	A list of the fitted parameters for the specified model.
...	Any extra information that is produced while learning the model; these wil be saved in the extras slot of the FittedModel object.

Details

Most users will never need to use this function; instead, they will first use an existing object of the Modeler-class, call the learn method of that object with the training data to obtain a FittedModel object, and then apply its predict method to test data. Only people who want to implement the learn-predict interface for a new classification algorithm are likely to need to call this function directly.

Value

Returns an object of the FittedModel-class.

Author(s)

Kevin R. Coombes <[e-mail].

See Also

See the descriptions of the learn function and the predict method for details on how to fit models on training data and make predictions on new test data.

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

Examples

# see the examples for learn and predict and for specific
# implementations of classifiers.

Example output

Loading required package: ClassDiscovery
Loading required package: cluster
Loading required package: oompaBase
Loading required package: ClassComparison

Modeler documentation built on May 7, 2019, 3 a.m.