Alexander Hess
af82951485
- 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 |