Uses of Package
org.deeplearning4j.earlystopping

Packages that use org.deeplearning4j.earlystopping

Package	Description
org.deeplearning4j.earlystopping
org.deeplearning4j.earlystopping.listener
org.deeplearning4j.earlystopping.saver
org.deeplearning4j.earlystopping.trainer

Classes in org.deeplearning4j.earlystopping used by org.deeplearning4j.earlystopping

Class and Description
EarlyStoppingConfiguration 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
EarlyStoppingModelSaver Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
EarlyStoppingResult.TerminationReason

Classes in org.deeplearning4j.earlystopping used by org.deeplearning4j.earlystopping.listener

Class and Description
EarlyStoppingConfiguration 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.
EarlyStoppingResult EarlyStoppingResult: contains the results of the early stopping training, such as: - Why the training was terminated - Score vs.

Classes in org.deeplearning4j.earlystopping used by org.deeplearning4j.earlystopping.saver

Class and Description
EarlyStoppingModelSaver Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later

Classes in org.deeplearning4j.earlystopping used by org.deeplearning4j.earlystopping.trainer

Class and Description
EarlyStoppingConfiguration 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.
EarlyStoppingResult EarlyStoppingResult: contains the results of the early stopping training, such as: - Why the training was terminated - Score vs.