Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.
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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: KNNRegressor, KNNClassifier,MultitargetKNNRegressor and MultitargetKNNClassifier.
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
Do list_kernels() for a complete list.
For instructions on defining a custom kernel, do ?UserDefinedKernel.