How do you compute accuracy in a regression model, after rounding predictions to classes, in keras?

Question

How would you create and display an accuracy metric in keras for a regression problem, for example after you round the predictions to the nearest integer class?

Whi

Answer 1

The answer by Thomas pretty much sums up the question. Just a minor addition as I was stuck in this one. Here "K" is

import keras.backend as K

def soft_acc(y_true, y_pred):
return K.mean(K.equal(K.round(y_true), K.round(y_pred)))

model.compile(..., metrics=[soft_acc])

Answer 2

I use rounded accuracy like this:

def soft_acc(y_true, y_pred):
    return K.mean(K.equal(K.round(y_true), K.round(y_pred)))

model.compile(..., metrics=[soft_acc])