regressoR (version 1.1.7)

kkn_prediction: kkn_prediction

Description

generates the code to create the prediction of the k nearest neighbors model.

Usage

kkn_prediction(data = "datos.prueba", variable.pred = NULL,
  model.var = "modelo.knn", pred.var = "prediccion.knn")

Arguments

data

the name of the test data.

variable.pred

the name of the variable to be predicted.

model.var

the name of the variable that stores the resulting model.

pred.var

the name of the variable that stores the resulting prediction.

Examples

# NOT RUN {
library(kknn)
library(dplyr)

x <- kkn_model('iris', 'Petal.Length', model.var = 'model_knn')
exe(x)
print(model_knn)

x <- kkn_prediction('iris', 'Petal.Length', 'model_knn', 'my_prediction')
exe(x)
print(my_prediction)

# }

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