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. @ v0.1.1

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 سال پیش
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fonts	e51b42b336 Initial commit	8 سال پیش
forecasting_growth_files	e51b42b336 Initial commit	8 سال پیش
holiday_effects_files	e51b42b336 Initial commit	8 سال پیش
images	e51b42b336 Initial commit	8 سال پیش
non-daily_data_files	e51b42b336 Initial commit	8 سال پیش
outliers_files	e51b42b336 Initial commit	8 سال پیش
quick_start_files	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 سال پیش
trend_changepoints_files	e51b42b336 Initial commit	8 سال پیش
uncertainty_intervals_files	e51b42b336 Initial commit	8 سال پیش
favicon.png	e51b42b336 Initial commit	8 سال پیش
logo.svg	e51b42b336 Initial commit	8 سال پیش
og_image.png	e51b42b336 Initial commit	8 سال پیش
oss_logo.png	e51b42b336 Initial commit	8 سال پیش
prophet_paper_20170113.pdf	e51b42b336 Initial commit	8 سال پیش
wordmark.svg	e51b42b336 Initial commit	8 سال پیش