Package | Description |
---|---|
org.nd4j.autodiff.listeners | |
org.nd4j.autodiff.listeners.checkpoint | |
org.nd4j.autodiff.listeners.impl | |
org.nd4j.autodiff.listeners.records |
Modifier and Type | Method and Description |
---|---|
ListenerResponse |
BaseListener.epochEnd(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis) |
ListenerResponse |
Listener.epochEnd(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis)
Called at the end of every epoch, when fitting from an iterator
|
ListenerResponse |
BaseEvaluationListener.epochEnd(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis) |
ListenerResponse |
BaseEvaluationListener.epochEndEvaluations(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis,
EvaluationRecord evaluations)
See
Listener.epochEnd(SameDiff, At, LossCurve, long) , also provided the requested evaluations |
Modifier and Type | Method and Description |
---|---|
ListenerResponse |
CheckpointListener.epochEnd(SameDiff sameDiff,
At at,
LossCurve lossCurve,
long epochTimeMillis) |
Modifier and Type | Method and Description |
---|---|
ListenerResponse |
UIListener.epochEnd(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis) |
ListenerResponse |
ScoreListener.epochEnd(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis) |
ListenerResponse |
HistoryListener.epochEndEvaluations(SameDiff sd,
At at,
LossCurve lossCurve,
long epochTimeMillis,
EvaluationRecord evaluations) |
Modifier and Type | Method and Description |
---|---|
LossCurve |
LossCurve.addLossAndCopy(double[] values,
List<String> lossNames)
Return a new LossCurve with the given losses added on as the most recent epoch
|
LossCurve |
LossCurve.addLossAndCopy(Loss loss)
Return a new LossCurve with the given losses added on as the most recent epoch
|
LossCurve |
History.lossCurve()
Get the loss curve
|
Constructor and Description |
---|
History(List<EvaluationRecord> training,
List<EvaluationRecord> validation,
LossCurve loss,
long trainingTimeMillis,
List<Long> validationTimesMillis) |
Copyright © 2019. All rights reserved.