avalanche.training.ClosestToCenterSelectionStrategy

class avalanche.training.ClosestToCenterSelectionStrategy(model: Module, layer_name: str)

A greedy algorithm that selects the remaining exemplar that is the closest to the center of all elements (in feature space).

__init__(model: Module, layer_name: str)

Methods

__init__(model, layer_name)
make_sorted_indices(strategy, data)	Should return the sorted list of indices to keep as exemplars.
make_sorted_indices_from_features(features)	Should return the sorted list of indices to keep as exemplars.