kinn.predict: Predicts response vector using kinn model

In kinn: An Implementation of 'kinn' Algorithm, a Graph Based Regression Model

Description

Predicts response vector using kinn model

Usage

kinn.predict(g, data, verbose = F)

Arguments

g	kinn model object
data	dataframe which holds preictors
verbose	printing detalied log

Value

predicton response vector

Examples

library(kinn)
library(caret)
x<-runif(100,min = 0,max=10)
e<-rnorm(100)
y<-2*x+3+e
df<-data.frame(x,y)
inTrain <- createDataPartition(y = df$y, p = 0.7, list = FALSE)
train <-df[inTrain, ]
test <- df[-inTrain, ]
model=kinn.train("y~x",train)
yhat=kinn.predict(model,test)

kinn documentation built on April 14, 2017, 10:02 a.m.