关于“Predict Taxi Fare with a BigQuery ML Forecasting Model”的评价
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Deep D. · 已于 3 months前审核
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A05K7 Sashi R. · 已于 3 months前审核
Aditya K. · 已于 3 months前审核
great!
Aryan S. · 已于 3 months前审核
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hemang p. · 已于 3 months前审核
SELECT SQRT(mean_squared_error) AS rmse FROM ML.EVALUATE(MODEL taxi.taxifare_model_2, ( WITH params AS ( SELECT 1 AS TRAIN, 2 AS EVAL ), daynames AS (SELECT ['Sun', 'Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat'] AS daysofweek), taxitrips AS ( SELECT (tolls_amount + fare_amount) AS total_fare, daysofweek[ORDINAL(EXTRACT(DAYOFWEEK FROM pickup_datetime))] AS dayofweek, EXTRACT(HOUR FROM pickup_datetime) AS hourofday, SQRT(POW((pickup_longitude - dropoff_longitude),2) + POW(( pickup_latitude - dropoff_latitude), 2)) as dist, #Euclidean distance between pickup and drop off SQRT(POW((pickup_longitude - dropoff_longitude),2)) as longitude, #Euclidean distance between pickup and drop off in longitude SQRT(POW((pickup_latitude - dropoff_latitude), 2)) as latitude, #Euclidean distance between pickup and drop off in latitude passenger_count AS passengers FROM `nyc-tlc.yellow.trips`, daynames, params WHERE trip_distance > 0 AND fare_amount BETWEEN 6 and 200 AND pickup_longitude > -75 #limiting of the distance the taxis travel out AND pickup_longitude < -73 AND dropoff_longitude > -75 AND dropoff_longitude < -73 AND pickup_latitude > 40 AND pickup_latitude < 42 AND dropoff_latitude > 40 AND dropoff_latitude < 42 AND MOD(ABS(FARM_FINGERPRINT(CAST(pickup_datetime AS STRING))),1000) = params.EVAL ) SELECT * FROM taxitrips ))
Syed S. · 已于 3 months前审核
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Mrunal S.Naik G. · 已于 3 months前审核
Indri S. · 已于 3 months前审核
very nice
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Vipul Y. · 已于 3 months前审核
very nice
Rakhi G. · 已于 3 months前审核
Very much satisfied
Rahul K. · 已于 3 months前审核
Arcade Feb 2024
Jonathan M. · 已于 3 months前审核
Amar P. · 已于 3 months前审核
excellent
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jjkblvjk;
Amman M. · 已于 3 months前审核
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