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How does JMP initiate the values of w and b for logistic regression loss function? How to simulate the same iterations as JMP reports?

I have got some questions about the LR model.

- How does JMP initiate the values of w and b for logistic regression loss function?

- How does Relative Gradient derive(formula of this value)?

- What is the difference between Relative Gradient and NormGradient?

- Which parameter does this gradient value represent? w or b?

- Why no mention of the gradient update of the b(interception) parameter?

I just want to simulate the iteration as JMP did, the above questions stuck me from repeating this iteration. Look forward to your awesome reply!

Consumer and Market Research

Data Blending and Cleanup

Re: How does JMP initiate the values of w and b for logistic regression loss function? How to simulate the same iterations as JMP reports?

Hi,

I've searched the JMP Help documentation but I can't find much explanation of the Iterations report:

https://www.jmp.com/support/help/en/16.0/#page/jmp/iterations.shtml#

I suggest that you contact JMP Technical Support to find out more.

Phil

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