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.
|
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.
|
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.
|
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.
|
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 |
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.
|
Class and Description |
---|
Loss
Loss class - represents the loss (score) for the network, for one iteration.
|
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.
|
Class and Description |
---|
Listener
A
SameDiff listener interface that is called during every iteration of training or inference |
Class and Description |
---|
At
Used in SameDiff
Listener instances. |
Listener
A
SameDiff listener interface that is called during every iteration of training or inference |
Loss
Loss class - represents the loss (score) for the network, for one iteration.
|
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.
|
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.
|
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