|EarlyStoppingModelSaver<T extends Model>||
Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
|EarlyStoppingConfiguration<T extends Model>||
Early stopping configuration: Specifies the various configuration options for running training with early stopping.
Users need to specify the following:
(a) EarlyStoppingModelSaver: How models will be saved (to disk, to memory, etc) (Default: in memory)
(b) Termination conditions: at least one termination condition must be specified
(i) Iteration termination conditions: calculated once for each minibatch.
|EarlyStoppingConfiguration.Builder<T extends Model>|
|EarlyStoppingResult<T extends Model>||
EarlyStoppingResult: contains the results of the early stopping training, such as: - Why the training was terminated - Score vs.