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. @ c836b520abcb0d359cd1cfcb3b966a7d1bca7e07

Ben Letham d02b6f62b2 Update component plots in notebooks to fix axis labeling bug		8 년 전
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fonts	e51b42b336 Initial commit	8 년 전
forecasting_growth_files	e51b42b336 Initial commit	8 년 전
holiday_effects_files	d02b6f62b2 Update component plots in notebooks to fix axis labeling bug	8 년 전
images	e51b42b336 Initial commit	8 년 전
non-daily_data_files	e51b42b336 Initial commit	8 년 전
outliers_files	e51b42b336 Initial commit	8 년 전
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 년 전
trend_changepoints_files	e51b42b336 Initial commit	8 년 전
uncertainty_intervals_files	d02b6f62b2 Update component plots in notebooks to fix axis labeling bug	8 년 전
favicon.png	e51b42b336 Initial commit	8 년 전
logo.svg	e51b42b336 Initial commit	8 년 전
og_image.png	e51b42b336 Initial commit	8 년 전
oss_logo.png	e51b42b336 Initial commit	8 년 전
prophet_paper_20170113.pdf	e51b42b336 Initial commit	8 년 전
wordmark.svg	e51b42b336 Initial commit	8 년 전