radu/Facebook-Prophet: Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. @ 1a6b736ccaa3d8adcbca45a16f25b8cc29777803

Ben Letham 2c8419e673 Fix missing m/d on trend component plot. Previously we used MaxNLocator to limit the number of tick marks on the trend and holiday component plots. This was putting the ticks at various points throughout the year, however the tick label showed only the year, which one would incorrectly assume to be Jan 1. This commit removes MaxNLocator and allows matplotlib to set xticks as it pleases, and updates the effected documentation.		8 năm trước cách đây
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forecasting_growth.ipynb	e51b42b336 Initial commit	8 năm trước cách đây
holiday_effects.ipynb	e51b42b336 Initial commit	8 năm trước cách đây
non-daily_data.ipynb	e51b42b336 Initial commit	8 năm trước cách đây
outliers.ipynb	e51b42b336 Initial commit	8 năm trước cách đây
quick_start.ipynb	2c8419e673 Fix missing m/d on trend component plot. Previously we used MaxNLocator to limit the number of tick marks on the trend and holiday component plots. This was putting the ticks at various points throughout the year, however the tick label showed only the year, which one would incorrectly assume to be Jan 1. This commit removes MaxNLocator and allows matplotlib to set xticks as it pleases, and updates the effected documentation.	8 năm trước cách đây
trend_changepoints.ipynb	e51b42b336 Initial commit	8 năm trước cách đây
uncertainty_intervals.ipynb	e51b42b336 Initial commit	8 năm trước cách đây