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. @ 1a57d19148d43bf388843e0a7f14e6c7f0b8063f

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 vuotta sitten
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contributing.md	a11a8c2a08 Spelling mistake	8 vuotta sitten
forecasting_growth.md	e51b42b336 Initial commit	8 vuotta sitten
holiday_effects.md	e51b42b336 Initial commit	8 vuotta sitten
installation.md	5e8e3ee958 Describe memory req for VM	8 vuotta sitten
non-daily_data.md	e51b42b336 Initial commit	8 vuotta sitten
outliers.md	e51b42b336 Initial commit	8 vuotta sitten
quick_start.md	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 vuotta sitten
trend_changepoints.md	e51b42b336 Initial commit	8 vuotta sitten
uncertainty_intervals.md	e51b42b336 Initial commit	8 vuotta sitten