aode: aode

In saitejar/AnDE: An extended Bayesian Learning Technique developed by Dr. Geoff Webb

Description

This function builds the model using the AODE algorithm which can then be used classification.

Usage

  aode(train, mestimate = 1, weighted = FALSE,
    subsumption = FALSE, S = 100)

Arguments

train	data.frame : training data. It should be a data frame. AODE works only discretized data. It would be better to discreetize the data frame before passing it to this function.However, aode discretizes the data if not done before hand. It uses an R package called discretization for the purpose. It uses the well known MDL discretization technique.(It might fail sometimes)
mestimate	optional numeric
weighted	optional boolean
subsumption	optional boolean
S	optional numeric subsumption constant

Details

This is the training phase of the algorithm. Necessary count and probability tables are generated which will used for the prediction purpose.

Value

An object of class AODE

Author(s)

saiteja ranuva

Examples

require("datasets")
aode(iris,mestimate=1)
aode(iris)
aode(iris,weighted=TRUE)

saitejar/AnDE documentation built on May 29, 2019, 12:59 p.m.