# Softmax regression bias and prior probabilities for unequal classes

I'm using Softmax regression for a multi-class classification problem. I don't have equal prior probabilities for each of the classes.

I know from Logistic Regression (softmax regression with 2 classes) that the prior probabilities of the classes is implicitly added to the bias ($\log(p_0/p_1)$).

Usually what I do is to manually remove this term from the bias.

My question is, what is the corresponding term in softmax regression bias?

Thanks.

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