KnnPCFit: KNN : Fit

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

KNN : Fit

Description

The function models the powercurve using KNN, against supplied arguments

Usage

KnnPCFit(data, xCol, yCol, subsetSelection = FALSE)

Arguments

data	a dataframe or a matrix, to be used in modelling
xCol	a vector or numeric values stating the column number of features
yCol	a numerical or a vector value stating the column number of target
subsetSelection	a boolean, default value is FALSE, if TRUE returns the best feature column number as xCol

Value

a list containing :

• data - The data set provided by user

• 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 using the function

• RMSE - The RMSE calculated using the function for provided data using user defined features and best obtained K

• MAE - The MAE calculated using the function for provided data using user defined features and best obtained K

Examples

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

knn_model = KnnPCFit(data, xCol, yCol, subsetSelection)

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