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Prophet: forecasting at scale

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Re: Prophet: forecasting at scale

#11
Worth noting Prophet is R/Python wrappers to some models with reasonable defaults, written in and fit by Stan, a probabilistic programming language, and Bayesian estimation framework.

Stan is amazing in that you can fit pretty much any model you can describe in an equation (given enough time and compute, of course)!

More on Stan here: http://mc-stan.org/

Re: Prophet: forecasting at scale

#12
Interesting definition of "scale" in this context, as it does not imply "big data" like every other usage of the word scale in data science. The tool works on, and is optimized, for day-to-day, mundane data.

See also the R vignette, which shows that the data is returned per-column which gives it a lot of flexibility if you only want certain values: https://cran.r-project.org/web/packages/prophet/vignettes/qu...

Re: Prophet: forecasting at scale

#16
I didn't know wikipedia page view counters are available for public usage.

The wikipediatrend R package relies on http://stats.grok.se/, which in turn relies on https://dumps.wikimedia.org/other/pagecounts-raw/ which has been deprecated.

The new dump is located at https://dumps.wikimedia.org/other/pageviews/

Data is available in hourly intervals.

* pageviews-20170227-050000

  en Peyton_Manning 58 0
[edit] There is a wikipedia-hosted OSS viewer for these logs, e.g. Swedish crime stats:

https://tools.wmflabs.org/pageviews/?project=en.wikipedia.or...

Re: Prophet: forecasting at scale

#17
We at https://yoghurt.io/ have been working towards similar forecasting solution. So far the feedback has been that automated solutions can also bring good results at a far lesser cost compared to hiring an expert analyst.

Its a completely managed solution. No need to setup anything yourself.Just upload the data and predict next week's data, today itself. There is a free trial and if anyone here is looking for an extended trial, they can reach out to me.

Re: Prophet: forecasting at scale

#19

We at https://yoghurt.io/ have been working towards similar forecasting solution. So far the feedback has been that automated solutions can also bring good results at a far lesser cost compared to hiring an expert analyst. Its a completely managed solution. No need to setup anything yourself.Just upload the data and predict next week's data, today itself. There is a free trial and if anyone here is looking for an ext…

your website is very sparse on details - any examples/demos?
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