 bl
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5dbffbaa18
Fix copy with extra seasonalities / regressors Py
|
8 年 前 |
|
bl
|
4ee5a971e4
Fix unit test broken in new pandas
|
8 年 前 |
|
bl
|
feb7be397b
Fix R warning with extra regressor; disallow constant extra regressors.
|
8 年 前 |
|
Ben Letham
|
230b2ca6e0
Lint fixes
|
8 年 前 |
|
Ben Letham
|
2ab01c5d77
Fix flaky unit test
|
8 年 前 |
|
bl
|
2e9768348b
Version bump
|
8 年 前 |
|
Ben Letham
|
8066634cb4
Refactor setup_dataframe R
|
8 年 前 |
|
Ben Letham
|
66ea9444eb
Custom seasonality prior scales R, handle NAs in holiday priors
|
8 年 前 |
|
Ben Letham
|
ddbb353278
Custom prior scales R
|
8 年 前 |
|
Ben Letham
|
4523315ffc
Lint fixes
|
8 年 前 |
|
bletham
|
cc3238acb7
Saturating minimum for logistic growth Py
|
8 年 前 |
|
bl
|
8d27643339
Custom seasonality priors Py
|
8 年 前 |
|
bletham
|
a620a6c9f9
Custom prior scales for holidays Py
|
8 年 前 |
|
bletham
|
3c09448018
Add cross-validation functions in R
|
8 年 前 |
|
bletham
|
e4ec600da4
Handle constant y in history
|
8 年 前 |
|
bletham
|
0b4ec4a9b3
Limit n_changepoints to number of observations.
|
8 年 前 |
 Nagi Teramo
|
79d0793ce4
Implement cross-validation of time series(a rolling forecast origin) (#261)
|
8 年 前 |
|
bl
|
8f1607cd93
Extra regressors Py
|
8 年 前 |
|
Ben Letham
|
fb517b53d6
lint fixes
|
8 年 前 |
|
bl
|
093b4b7eec
R sub-daily data documentation, bugfixes, and unit tests
|
8 年 前 |
|
bl
|
b07d345155
Bugfix for add_seasonality
|
8 年 前 |
|
bl
|
707c885275
Add custom seasonalities (Py)
|
8 年 前 |
|
bl
|
ec497ffba8
Handle holidays with subdaily data
|
8 年 前 |
|
bl
|
4677dd4da3
Unit tests for daily seasonality (Py)
|
8 年 前 |
|
bl
|
b3017c025f
Generalize seasonality representation (Python)
|
8 年 前 |
|
Ben Letham
|
5971a2369b
Loop debug (#168)
|
8 年 前 |
|
Ben Letham
|
d937f47612
Enable seasonalities automatically depending on history length / frequency
|
8 年 前 |
|
Ben Letham
|
1a7112268e
style fixes
|
8 年 前 |
|
Ben Letham
|
1d37f7f6fe
make_future_dataframe return correct number of periods
|
8 年 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 前 |
