urban-meal-delivery/src/urban_meal_delivery/forecasts/__init__.py

"""Demand forecasting utilities."""

from urban_meal_delivery.forecasts import decomposition
from urban_meal_delivery.forecasts import timify
Add `aggregate_orders()` function - the function queries the database and aggregates the ad-hoc orders by pixel and time steps into a demand time series - implement "heavy" integration tests for `aggregate_orders()` - make `pandas` a package dependency - streamline the `Config` 2021-01-07 23:18:40 +01:00			`"""Demand forecasting utilities."""`

Add `stl()` function - `stl()` wraps R's "stl" function in Python - STL is a decomposition method for time series 2021-01-11 16:10:45 +01:00			`from urban_meal_delivery.forecasts import decomposition`
Add `aggregate_orders()` function - the function queries the database and aggregates the ad-hoc orders by pixel and time steps into a demand time series - implement "heavy" integration tests for `aggregate_orders()` - make `pandas` a package dependency - streamline the `Config` 2021-01-07 23:18:40 +01:00			`from urban_meal_delivery.forecasts import timify`