Created
August 23, 2022 14:22
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| # we pre-generate some of the components' names | |
| regions_reasons_comps = list( | |
| map(lambda t: "{} - {}".format(t[0], t[1].lower()), product(regions, reasons)) | |
| ) | |
| regions_reasons_city_comps = list( | |
| map( | |
| lambda t: "{} - {} - {}".format(t[0], t[1].lower(), t[2]), | |
| product(regions, reasons, city_labels), | |
| ) | |
| ) | |
| def measure_mae(pred): | |
| def print_mae_on_subset(subset, name): | |
| print( | |
| "mean MAE on {}: {:.2f}".format( | |
| name, | |
| mae( | |
| [pred[c] for c in subset], | |
| [val[c] for c in subset], | |
| inter_reduction=np.mean, | |
| ), | |
| ) | |
| ) | |
| print_mae_on_subset(["Total"], "total") | |
| print_mae_on_subset(reasons, "reasons") | |
| print_mae_on_subset(regions, "regions") | |
| print_mae_on_subset(regions_reasons_comps, "(region, reason)") | |
| print_mae_on_subset(regions_reasons_city_comps, "(region, reason, city)") | |
| measure_mae(pred) |
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