KnnPredict: KNN : Predict

In TAMU-AML/DSWE-Package: Data Science for Wind Energy

KNN : Predict

Description

The function can be used to make prediction on test data using trained model

Usage

KnnPredict(knnMdl, testData)

Arguments

knnMdl	a list containing: knnMdl$data - The data set provided by user knnMdl$xCol - The column number of features provided by user or the best subset column number knnMdl$yCol - The column number of target provided by user knn$bestK - The best k nearest neighbor calculated using the function KnnFit
testData	a data frame or matrix, to compute the predictions

Value

a numeric / vector with prediction on test data using model generated by KnnFit

Examples

data = data1[c(1:100),]
xCol = 2
yCol = 7
subsetSelection = FALSE

knn_model = KnnPCFit(data, xCol, yCol, subsetSelection)
testData = data1[c(101:110), ]

prediction = KnnPredict(knn_model, testData)

TAMU-AML/DSWE-Package documentation built on Feb. 12, 2024, 11:35 p.m.