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 |