Hi,
I got a customer question about gaussian model's performance compared to Python. He says the data he is analyzing needs several seconds in Python but hours in JMP. Unfortunately I do not have many details about his data, it is about tens of thousand rows and may 20 columns. They wonder if in JMP Pro the performance would be different.
- As far I know JMP and JMP Pro are using the same algorithm and there is nothing different implemented which would have impact on the performance, correct?
- What could affect performance of the gaussian model algorithm in JMP that it seems to be that much slower than in Python? It does not seem to me that RAM and memory swapping might be the issue?
Thanks for some guidance,
Martin
PS: I will also ask the customer to work with Tech Support to see if there is some other reason.
@chris_gotwalt1
