Many thanks for releasing this! the effort to do so in both R and Python, with all the supporting documentation, is very appreciated.
Perhaps a more general or 'motivational' question - what are some common use cases for accurate events/clicks predictions? If it is just a trend that someone is interested in then an analyst can 'eyeball' it pretty well from the time series plot. I guess the need for high accuracy is driven by more than just spotting a trend?
We don't really use Prophet for event prediction. It's mostly for predicting aggregates that are measured on a slower timescale (daily or weekly data). Accuracy is harder to measure for time series forecast because out of sample is tough to evaluate.
