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Is it possible to evaluate the BaseModel with other keras metrics aside from binary and categorical accuracy? #880
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@zicofish Thanks for your attention! I tried to use the benchmark/private_training.py by running: But on line 133, I used
instead of
and it resulted in the following error:
|
@fbarusso you should not use the same changing |
There is an example to use model.predict. |
I would like to evaluate a private model (to be specific the true/false negatives/positives metrics), but the evaluate function from the BaseModel seems to support only binary and categorical accuracy. I'm using a logistic regression model for binary classification.
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