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. @ 2c8419e6739264e1320dadcf736035ff8284a312

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.		hace 8 años
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forecasting_growth.ipynb	e51b42b336 Initial commit	hace 8 años
holiday_effects.ipynb	e51b42b336 Initial commit	hace 8 años
non-daily_data.ipynb	e51b42b336 Initial commit	hace 8 años
outliers.ipynb	e51b42b336 Initial commit	hace 8 años
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.	hace 8 años
trend_changepoints.ipynb	e51b42b336 Initial commit	hace 8 años
uncertainty_intervals.ipynb	e51b42b336 Initial commit	hace 8 años