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. @ 55d7d1e62d6ecd4e5d3ca5849ecc59d1704311c6

Ben Letham 55d7d1e62d Single stan model with both trends (Py)		%!s(int64=7) %!d(string=hai) anos
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__init__.py	c8b79e824b MNT Include tests in the package	%!s(int64=8) %!d(string=hai) anos
data.csv	4677dd4da3 Unit tests for daily seasonality (Py)	%!s(int64=8) %!d(string=hai) anos
data2.csv	4677dd4da3 Unit tests for daily seasonality (Py)	%!s(int64=8) %!d(string=hai) anos
test_diagnostics.py	7179ae3a38 Add RMSE as cross validation metric	%!s(int64=7) %!d(string=hai) anos
test_prophet.py	55d7d1e62d Single stan model with both trends (Py)	%!s(int64=7) %!d(string=hai) anos