Hi all,
I used to use JMP for data mining when I was in school, but have switched to using Python since then. I recently used JMP to build an Elastic Net Logistic regression with my data since its output is more intuitive. I attempted to replicate my results in python using the "SGDClassifier function" but my results were way off. I believe it may be because this function requires specifying several parameters such as alpha, L1 ratio, initial learning rate for "adaptive" models, etc. Does anyone know the default settings for JMP's elastic net regression? I understand that the alpha is 0.9 but I'm unsure about the others.
Thank you in advance for any help!
Information on python function:
SGDClassifier Function in Python