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I wanted to perform a Multinomial Logistic Regression for designating our customer types. I do not see any operator for this can you provide some guidance in this regards
@sunnyal the Generalized Linear Model operator can do Multinominal labels, just have to set the Family parameter to multinominal
Is there any difference between polynomial and multinomial logistic regressions? Because if there isn't a difference, I remember that there is an operator named Logistic Regression (Evolutionary), that you can configure to do polynomial regressions.
All the best,
Thank you Rodrigo, Tom,
I also see an operator called Polynomial regression. Would this suffice the need for performing multinomial regression?? Is there a difference between this an Logistic Regression (Evolutionary) and Generalized Linear Model ??
Also, do we have an sample process on Generalized Linear Model with family type as multinomial, that I can infer ??
@sunnyal The Polynominal Regression operator can only use a numerical label with numerical labels, so you can't use it for a multi-label application. The Logistic Regression (Evolutionary) operator is a lot like a standard LR algo BUT uses a Support Vector Machine to determine the boundary conditions of a binomal label. So that won't work either if you have multi-labels (i.e. more than 2).
The best bet, IMHO, is to use the GLM operator. It's a modern implementation and really fast.
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