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. @ 47ae61f44e59e374b4f43740b983b51f65848e78

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