The EarlyStoppingTModel generic type exposes the following members.
Gets the history of training and validation values registered at each iteration of the learning algorithm.
Gets or sets the iteration function for the procedure. This function will be called on each iteration and should run one iteration of the learning algorithm for the given model.
Gets or sets the maximum number of iterations performed by the early stopping algorithm. Default is 0 (run until convergence).
Gets the model with maximum validation error found during learning.
Gets the model with minimum validation error found during learning.
Gets or sets the storage policy for the procedure.
Gets or sets the minimum tolerance value used to determine convergence. Default is 1e-5.