Alexander Hess af82951485 Add OrderHistory.choose_tactical_model() ... - 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		2021-02-02 11:29:27 +01:00
..
console	Make Grid.gridify() use only pickup addresses	2021-01-24 19:04:39 +01:00
db	Add Forecast.from_dataframe() constructor	2021-02-01 15:50:30 +01:00
forecasts	Add OrderHistory.choose_tactical_model()	2021-02-02 11:29:27 +01:00
__init__.py	Add a testing tool chain	2020-08-04 00:09:29 +02:00
config.py	Add OrderHistory.choose_tactical_model()	2021-02-02 11:29:27 +01:00
conftest.py	Add CLI script to gridify all cities	2021-01-06 16:17:05 +01:00
test_config.py	Add rpy2 to the dependencies	2021-01-11 16:06:58 +01:00
test_init_r.py	Add rpy2 to the dependencies	2021-01-11 16:06:58 +01:00
test_version.py	Remove pylint from the project	2021-01-09 17:47:45 +01:00