# Functions
NewKnnClassifier returns a new classifier.
NewKnnRegressor mints a new classifier.
ReloadKNNClassifier reloads a KNNClassifier when it's the only thing in an output file.
# Structs
A KNNClassifier consists of a data matrix, associated labels in the same order as the matrix, searching algorithm, and a distance function.
A KNNRegressor consists of a data matrix, associated result variables in the same order as the matrix, and a name.