1. Machine Learning with ClickHousetotal_amount FROM trips LIMIT 5 ┌─evalMLMethod(model, trip_distance)─┬─total_amount─┐ │ 8.217837149438552 │ 5.4 │ │ 7.907950166848444 │ 4.6 │ │ 33.62856972182739 │ 23.4 │ │ 9.147498097208874 │ 5.8 │ │ 11.936480940519843 toYear(pickup_datetime) LIMIT 5 ┌─evalMLMethod(model, trip_distance)─┬─total_amount─┐ │ 8.087692004204174 │ 5.4 │ │ 7.861181608305352 │ 4.6 │ │ 26.661544467907536 │ 23.4 │ │ 8.767223191900637 │ 5.8 │ │ 10.80581675499003 prediction, total_amount FROM trips LIMIT 5 ┌─────────prediction─┬─total_amount─┐ │ 8.096942220719471 │ 5.4 │ │ 7.6722147935759955 │ 4.6 │ │ 26.433542947767798 │ 23.4 │ │ 8.506852274026288 │ 5.8 │ │ 11.5550796049244440 码力 | 64 页 | 1.38 MB | 1 年前3- 0. Machine Learning with ClickHouse total_amount FROM trips LIMIT 5 ┌─evalMLMethod(model, trip_distance)─┬─total_amount─┐ │ 8.217837149438552 │ 5.4 │ │ 7.907950166848444 │ 4.6 │ │ 33.62856972182739 │ 23.4 │ │ 9.147498097208874 │ 5.8 │ │ 11.936480940519843 toYear(pickup_datetime) LIMIT 5 ┌─evalMLMethod(model, trip_distance)─┬─total_amount─┐ │ 8.087692004204174 │ 5.4 │ │ 7.861181608305352 │ 4.6 │ │ 26.661544467907536 │ 23.4 │ │ 8.767223191900637 │ 5.8 │ │ 10.80581675499003 prediction, total_amount FROM trips LIMIT 5 ┌─────────prediction─┬─total_amount─┐ │ 8.096942220719471 │ 5.4 │ │ 7.6722147935759955 │ 4.6 │ │ 26.433542947767798 │ 23.4 │ │ 8.506852274026288 │ 5.8 │ │ 11.5550796049244440 码力 | 64 页 | 1.38 MB | 1 年前3
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