Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.
Builds on Kristoffer Carlsson's NearestNeighbors package, for performing efficient nearest neighbor searches.
Builds on contributions of Thibaut Lienart originally residing in MLJModels.jl.
Provides the following models:
Provides a library of kernels for weighting nearest neighbors, including all kernels surveyed in the paper Geler et.al (2016): Comparison of different weighting schemes for the kNN classifier on time-series data
list_kernels() for a complete list.
For instructions on defining a custom kernel, do