- 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 |
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|---|---|---|
| .. | ||
| __init__.py | ||
| test_aggregate_orders.py | ||
| test_avg_daily_demand.py | ||
| test_make_time_series.py | ||
| test_order_history.py | ||