I have a model and fit it using the following:
model.fit(Xtrain, ytrain, epochs = epochs, verbose = 2, batch_size = 1000, shuffle = True, validation_data = (Xtest, ytest))
However, when using the built in validation_data option, I cannot find a way to extract the probability values and class assignments for the validation set.
I am thinking of implementing this with a callback, similar to the situation here https://github.com/keras-team/keras/issues/2548 , but I am unsure how to do so.
Try using predict_prob
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