predict_your_model: Naive bayes predictor

In sharechanxd/myNBpackage: Bios625 homework4 (Title Case)

Description

used to predict new data with previously defined model

Usage

predict_your_model(NB_obj,new_x, pred_type = c('class','raw'),threshold = .Machine$double.eps,eps = 0)

Arguments

NB_obj	object for Naive bayes classifier
new_x	a dataframe of test dataset without labels
pred_type	predicted result type, should be 'class' or 'raw'
threshold	Value replacing cells with probabilities within eps, default is .Machine$double.eps
eps	laplace smoothing parametre, default is 0

Details

Notice you should specify the result type in 'class'(return labels) and 'raw'(return probabilities)

Value

predicted result depending on pred_type

Examples

x=iris[c(1:40,51:90,101:140),-5]
y=iris[c(1:40,51:90,101:140),5]
testx = iris[c(41:50,91:100,141:150),-5]
m2 = myNaiveBayes(x,y)
r2 = predict_your_model(m2,testx,'class')

sharechanxd/myNBpackage documentation built on Dec. 23, 2021, 1:21 a.m.