alexander/urban-meal-delivery
1
1
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity Actions

Add OrderHistory.choose_tactical_model()

Browse source 
- the method implements a heuristic from the first research paper
  that chooses the most promising forecasting `*Model` based on
  the average daily demand in a `Pixel` for a given `train_horizon`
- adjust the test scenario => `LONG_TRAIN_HORIZON` becomes `8`
  as that is part of the rule implemented in the heuristic
This commit is contained in:
Alexander Hess 2021-02-02 11:29:27 +01:00
commit af82951485
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
6 changed files with 199 additions and 35 deletions
Download patch file Download diff file Expand all files Collapse all files

1
src/urban_meal_delivery/forecasts/models/__init__.py
View file

@ -29,6 +29,7 @@ A future `planning` sub-package will contain the `*Model`s used to plan the
`Courier`'s shifts a week ahead.
""" # noqa:RST215
from urban_meal_delivery.forecasts.models.base import ForecastingModelABC
from urban_meal_delivery.forecasts.models.tactical.horizontal import HorizontalETSModel
from urban_meal_delivery.forecasts.models.tactical.realtime import RealtimeARIMAModel
from urban_meal_delivery.forecasts.models.tactical.vertical import VerticalARIMAModel