Commit graph

2 commits

Author SHA1 Message Date
cb7611d587
Add OrderHistory.avg_daily_demand()
- the method calculates the number of daily `Order`s in a `Pixel`
  withing the `train_horizon` preceding the `predict_day`
2021-02-01 21:50:42 +01:00
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