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urban-meal-delivery/tests/forecasts
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Alexander Hess 67cd58cf16
Add urban_meal_delivery.forecasts.models sub-package 
- `*Model`s use the `methods.*.predict()` functions to predict demand
  given an order time series generated by `timify.OrderHistory`
- `models.base.ForecastingModelABC` unifies how all `*Model`s work
  and implements a caching strategy
- implement three `*Model`s for tactical forecasting, based on the
  hets, varima, and rtarima models described in the first research paper
- add overall documentation for `urban_meal_delivery.forecasts` package
- move the fixtures in `tests.forecasts.timify.conftest` to
  `tests.forecasts.conftest` and adjust the horizon of the test horizon
  from two to three weeks
2021-02-01 20:39:52 +01:00
..
methods Add extrapolate_season.predict() function 2021-02-01 11:32:10 +01:00
timify Add urban_meal_delivery.forecasts.models sub-package 2021-02-01 20:39:52 +01:00
__init__.py Add extrapolate_season.predict() function 2021-02-01 11:32:10 +01:00
conftest.py Add urban_meal_delivery.forecasts.models sub-package 2021-02-01 20:39:52 +01:00
test_models.py Add urban_meal_delivery.forecasts.models sub-package 2021-02-01 20:39:52 +01:00