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Jan 11, 2019 6:39 AM
(1131 views)

hello, I am relatively new to using neural networks on JMP. I do some of the key things, and can create models, etc, but I had a question regarding IMPLEMENTING a model. lets assume I create a model with 10 indep variables and one dependent binary variable that is either a success or failure. I then have these complex equations that create a probability of a success. is there then a way (Without having to write your own formulas) to "feed" JMP 10 possible values (the independent variables) and it use the formula and spit out a probability?

thanks

John

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Re: Neural Networks - JMP 14- implementing results

thanks Mark, I will try that.