Index of classes

KernelHerding([kernel, distribution, ...])	Incrementally select new design points with kernel herding.
KernelHerdingTensorized([kernel, ...])	Incrementally select new design points with tensorized kernel herding.
GreedySupportPoints([distribution, ...])	Incrementally select new design points with greedy support points.
TestSetWeighting(train, test, ...[, kernel])	Weighting of a test-set for optimal machine learning performance metric (e.g, Integrated Squared Error, predictivity coefficient) estimation.
BayesianQuadratureWeighting([kernel, ...])	Optimally-weighting a sample for probabilistic integration.