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urban-meal-delivery/tests/forecasts/__init__.py

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Add `extrapolate_season.predict()` function - the function implements a forecasting "method" similar to the seasonal naive method => instead of simply taking the last observation given a seasonal lag, it linearly extrapolates all observations of the same seasonal lag from the past into the future; conceptually, it is like the seasonal naive method with built-in smoothing - the function is tested just like the `arima.predict()` and `ets.predict()` functions + rename the `tests.forecasts.methods.test_ts_methods` module into `tests.forecasts.methods.test_predictions` - re-organize some constants in the `tests` package - streamline some docstrings
2021-02-01 11:32:10 +01:00
"""Tests for the `urban_meal_delivery.forecasts` sub-package."""
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