CODEWITHSUNDEEP
pythontime-seriesforecastingfacebook-prophet
rishi jain
rishi jain

Reputation: 1640

fbprophet yearly seasonality values too high

I have recently started using fbprophet package in python. I have monthly data for last 2 years and forecasting for next 9 months. Since, I have monthly data I have only included yearly seasonality (Prophet(yearly_seasonality = True)). When I plot components, trend values seem to be fine however, Yearly seasonality values are too high, I don't understand why? Seasonality is showing 300 increase or -200 decrease. However, in actual graph it is not happening in any months in the past - what I can do to correct? Overall Forecast

Trend

Seasonality

Code Used is as follows:

m = Prophet(yearly_seasonality = True)
m.fit(df_bu_country1)
future = m.make_future_dataframe(periods=9, freq='M')
forecast = m.predict(future)
m.plot(forecast)
m.plot_components(forecast)

Upvotes: 2

Views: 11685

Answers (2)

Sandeep Chowdary
Sandeep Chowdary

Reputation: 77

There is an inconsistency in the seasonality factor of your data, there seems a little yearly seasonality between 2017-04 to 2018-10 . The first answer is absolutely true but incase if you feel there some seasonality you can reduce its impact by altering fourier order it has. https://facebook.github.io/prophet/docs/seasonality,_holiday_effects,_and_regressors.html#fourier-order-for-seasonalities

This page has how to do so, the default fourier order is 10, reducing the values cahnges it effects. Try this hope it helps you

Upvotes: 2

Alex Kinman
Alex Kinman

Reputation: 2615

There is no seasonality at all in your data. For there to be yearly seasonality, you should have a pattern that repeats year after year, but the shape of your time series from 10/2015 to 10/2016 is completely different from the shape between 10/2016 to 10/2017. So forcing a yearly seasonality is going to give you strange results, you should switch it off (i.e. just use Prophet's default settings).

Upvotes: 8

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