discretisation: Discretization from cuts

In ldelecourt/NBC_package: Original Implementation of Naive Bayes Classifier

Description

Discretization from cuts made by the mdlp function from library(discretization) during the fit on the training dataset.

Usage

discretisation(column, cuts)

Arguments

column	the column of a dataframe that will be discretize, must be numeric
cuts	a list of cuts made by mdlp usually NBAYES$cuts

Value

a dataframe with all row discretize

Examples

data(iris)
train <- iris
modele <- fit(Species ~ ., train, laplace=0)
disc <- discretisation(iris[1], modele$cuts[[1]])

ldelecourt/NBC_package documentation built on Dec. 16, 2019, 10:51 p.m.