Uses of Package
org.nd4j.autodiff.listeners

Packages that use org.nd4j.autodiff.listeners

Package	Description
org.nd4j.autodiff.listeners
org.nd4j.autodiff.listeners.checkpoint
org.nd4j.autodiff.listeners.debugging
org.nd4j.autodiff.listeners.impl
org.nd4j.autodiff.listeners.records
org.nd4j.autodiff.samediff
org.nd4j.autodiff.samediff.config
org.nd4j.autodiff.samediff.internal
org.nd4j.autodiff.validation
org.nd4j.autodiff.validation.listeners

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.listeners

Class and Description
At Used in SameDiff Listener instances.
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
ListenerEvaluations A class to allow Listeners to define what evaluations they need to run during training
ListenerEvaluations.Builder
ListenerResponse An enum representing feedback given by listeners during the training loop. CONTINUE: Continue training for more epochs, unless the specified (maximum) number of training epochs have already been completed. STOP: Terminate training at the current point, irrespective of how many total epochs were specified when calling fit.
ListenerVariables Specifies a Listener's required variables for each operation.
ListenerVariables.Builder
Loss Loss class - represents the loss (score) for the network, for one iteration.
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.listeners.checkpoint

Class and Description
At Used in SameDiff Listener instances.
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
ListenerResponse An enum representing feedback given by listeners during the training loop. CONTINUE: Continue training for more epochs, unless the specified (maximum) number of training epochs have already been completed. STOP: Terminate training at the current point, irrespective of how many total epochs were specified when calling fit.
Loss Loss class - represents the loss (score) for the network, for one iteration.
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.listeners.debugging

Class and Description
At Used in SameDiff Listener instances.
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.listeners.impl

Class and Description
At Used in SameDiff Listener instances.
BaseEvaluationListener A base listener class that will preform the provided evaluations, and provide the results in epochEnd and validationDone Instead of overriding requiredVariables, epochStart, epochEnd, validationDone, and/or opExecution, override otherRequiredVariables, epochStartEvaluations, epochEndEvaluations, validationDoneEvaluations, and/or opExecutionEvaluations If you want to use Evaluations in your listener, extend this class
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
ListenerEvaluations A class to allow Listeners to define what evaluations they need to run during training
ListenerResponse An enum representing feedback given by listeners during the training loop. CONTINUE: Continue training for more epochs, unless the specified (maximum) number of training epochs have already been completed. STOP: Terminate training at the current point, irrespective of how many total epochs were specified when calling fit.
Loss Loss class - represents the loss (score) for the network, for one iteration.
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.listeners.records

Class and Description
Loss Loss class - represents the loss (score) for the network, for one iteration.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.samediff

Class and Description
At Used in SameDiff Listener instances.
Listener A SameDiff listener interface that is called during every iteration of training or inference
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.samediff.config

Class and Description
Listener A SameDiff listener interface that is called during every iteration of training or inference

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.samediff.internal

Class and Description
At Used in SameDiff Listener instances.
Listener A SameDiff listener interface that is called during every iteration of training or inference

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.validation

Class and Description
At Used in SameDiff Listener instances.
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
Operation An enum representing the operation being done on a SameDiff graph.

Classes in org.nd4j.autodiff.listeners used by org.nd4j.autodiff.validation.listeners

Class and Description
At Used in SameDiff Listener instances.
BaseListener A base/abstract Listener with all methods implemented as no-op.
Listener A SameDiff listener interface that is called during every iteration of training or inference
Operation An enum representing the operation being done on a SameDiff graph.