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. @ 4f5f97d55b2d46edfdf56a4f960fdce8f4f07d69

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