I'm using caret package to train a knn model with the following R code:
set.seed(123) knn_control <- trainControl(method = "none") knn_model <- train(data_train, data_train_labels, method = "knn", trControl = knn_control) I don't want to use any kind of resampling (thus, the parameter method = "none"), but I want to specify the k – the number of neighbours.
How can I achieve this?
Thanks in advance for helping!
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Best Answer
You can set the tuneGrid to have only 1 k value:
knn_model <- train(iris[,-5],factor(iris[,5]!="Setosa"), tuneGrid=data.frame(k=5),method="knn",trControl=knn_control) The above can only work with 1 K value, since when you don't resample, it defeats the purpose of training your dataset. So it's simply fitting the model to the K you defined.
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