bl 661ceedfa2 Example with MCMC to show undetermined seasonality		2018-05-30 16:25:23 -07:00
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diagnostics.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
multiplicative_seasonality.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
non-daily_data.ipynb	Example with MCMC to show undetermined seasonality	2018-05-30 16:25:23 -07:00
outliers.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
quick_start.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
saturating_forecasts.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
seasonality,_holiday_effects,_and_regressors.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
trend_changepoints.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00
uncertainty_intervals.ipynb	Remove log transforms in the documentation by log transforming the CSVs, to avoid people thinking they have to log transform their data in order to use Prophet.	2018-05-30 15:34:41 -07:00