Open FlorinAndrei opened 2 years ago
The response distribution is assumed to be normal and that's coded into the stan
model, so no way to change that unless you make your own fork of the package and re-compile the model. Ben explored non-gaussian likelihoods for count data here: https://github.com/facebook/prophet/issues/1500 but I don't think we've explored binary responses specifically.
I haven't used it myself, but the tscount
package in R might be a better fit for your task.
Is there any way at all to get meaningful results out of Prophet when the response variable is categorical or even binary (0 or 1)?
Basically, I have an up-or-down test that runs periodically. The output of the test is either 0 or 1. I'm looking for ways to forecast the response.