CODEWITHSUNDEEP
numpytensorflowkerasdeep-learningtf.keras
Ramon
Ramon

Reputation: 501

Share operation result between Keras metrics

I have a (time-expensive) operation that multiple metrics have in common. What would be the best way to share the operation result between the metrics avoiding the overhead of recalculating it each time?

Upvotes: 1

Views: 89

Answers (1)

Timbus Calin
Timbus Calin

Reputation: 15023

You should create a special class to override tf.keras.callback.Callback() (thus implement your own callback class) and calculate the metrics that you need by overriding the method on_epoch_end().

Then, you can calculate some of your metrics, say, on the validation set, and you thus manually ensure that if you calculate for example TP + FP, you do use this sum to calculate the precision (TP / (TP + FP)) rather than recalculating it.

Manually doing so ensures no additional/superfluous computations are made.

Upvotes: 2

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