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The Metrics class is a bit of a mess. It should behave more like a Keras History callback, and should be the returned object from a call to saber.train().
This would make hyperparm tuning much easier. E.g. a simple script could be written to collect the average performance of some metric or loss from the Metrics object returned by saber.train(), and tune against it.
The text was updated successfully, but these errors were encountered:
The
Metrics
class is a bit of a mess. It should behave more like a KerasHistory
callback, and should be the returned object from a call tosaber.train()
.This would make hyperparm tuning much easier. E.g. a simple script could be written to collect the average performance of some metric or loss from the
Metrics
object returned bysaber.train()
, and tune against it.The text was updated successfully, but these errors were encountered: