Constants: Package Constants

In henkelstone/NPEL.Classification: Classifaction and data-handling routines for NPEL Caribou Project

Description

Global constants that define the bounds of this packages functionality

Usage

suppModels, probModels, contModels

Format

A list of models that are supported. These represent the internal codes used by this package.

Constants

• suppModels: supported models—the model types (packages) this package currently supports.

• probModels: probabilistic models—models types that will return probabilities when created on categorical data.

• contModels: continuous models—models that can be used (natively) with continuous variables. Of course other classification algorithms, for example nearest neighbour, can be run on an index variable then continuous data can then be imputed from this.

Examples

## Not run: 
suppModels <- c('randomForest','rfsrc','fnn.FNN','fnn.class','kknn','gbm')  # Which packages (model classes) are supported by NPEL.Classification
probModels <- c('randomForest','rfsrc','fnn.FNN','fnn.class','kknn','gbm')  # Which packages generate probabilities when passed categorical data
contModels <- c('randomForest','rfsrc','kknn','gbm')                               # Which packages are able to handle continuous data

## End(Not run)

henkelstone/NPEL.Classification documentation built on May 17, 2019, 3:42 p.m.