提交历史

作者 SHA1 备注 提交日期
  bl 5dbffbaa18 Fix copy with extra seasonalities / regressors Py 8 年之前
  bl 4ee5a971e4 Fix unit test broken in new pandas 8 年之前
  bl feb7be397b Fix R warning with extra regressor; disallow constant extra regressors. 8 年之前
  Ben Letham 230b2ca6e0 Lint fixes 8 年之前
  Ben Letham 2ab01c5d77 Fix flaky unit test 8 年之前
  bl 2e9768348b Version bump 8 年之前
  Ben Letham 8066634cb4 Refactor setup_dataframe R 8 年之前
  Ben Letham 66ea9444eb Custom seasonality prior scales R, handle NAs in holiday priors 8 年之前
  Ben Letham ddbb353278 Custom prior scales R 8 年之前
  Ben Letham 4523315ffc Lint fixes 8 年之前
  bletham cc3238acb7 Saturating minimum for logistic growth Py 8 年之前
  bl 8d27643339 Custom seasonality priors Py 8 年之前
  bletham a620a6c9f9 Custom prior scales for holidays Py 8 年之前
  bletham 3c09448018 Add cross-validation functions in R 8 年之前
  bletham e4ec600da4 Handle constant y in history 8 年之前
  bletham 0b4ec4a9b3 Limit n_changepoints to number of observations. 8 年之前
  Nagi Teramo 79d0793ce4 Implement cross-validation of time series(a rolling forecast origin) (#261) 8 年之前
  bl 8f1607cd93 Extra regressors Py 8 年之前
  Ben Letham fb517b53d6 lint fixes 8 年之前
  bl 093b4b7eec R sub-daily data documentation, bugfixes, and unit tests 8 年之前
  bl b07d345155 Bugfix for add_seasonality 8 年之前
  bl 707c885275 Add custom seasonalities (Py) 8 年之前
  bl ec497ffba8 Handle holidays with subdaily data 8 年之前
  bl 4677dd4da3 Unit tests for daily seasonality (Py) 8 年之前
  bl b3017c025f Generalize seasonality representation (Python) 8 年之前
  Ben Letham 5971a2369b Loop debug (#168) 8 年之前
  Ben Letham d937f47612 Enable seasonalities automatically depending on history length / frequency 8 年之前
  Ben Letham 1a7112268e style fixes 8 年之前
  Ben Letham 1d37f7f6fe make_future_dataframe return correct number of periods 8 年之前
  Ben Letham 443d475468 Allow changepoints on dates that aren't in history, and allow for repeated observations on days. Previously we worked with changepoints via their index in the history. Now we work with them using just their value in scaled time. 8 年之前