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. @ 66ea9444ebeef9dbecc60d9cb7e4fc0ebf7634f1

Ben Letham 66ea9444eb Custom seasonality prior scales R, handle NAs in holiday priors		%!s(int64=8) %!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	3c09448018 Add cross-validation functions in R	%!s(int64=8) %!d(string=hai) anos
test_prophet.py	66ea9444eb Custom seasonality prior scales R, handle NAs in holiday priors	%!s(int64=8) %!d(string=hai) anos