KnnUpdate: KNN : Update

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

KNN : Update

Description

The function can be used to update KNN model when new data is provided

Usage

KnnUpdate(knnMdl, newData)

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
newData	a dataframe or a matrix, to be used for updating the model

Value

a list containing :

• data - The updated data using old data set and new data

• xCol - The column number of features provided by user or the best subset column number

• yCol - The column number of target provided by user

• bestK - The best k nearest neighbor calculated for the new data using user specified features and target

Examples

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

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

knn_newmodel = KnnUpdate(knn_model, newData)

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