cloud-platform/google-cloud/bigquery/bigquery-ml/predict_taxi_fare/000003_evaluate.sql
select sqrt(mean_squared_error) as rmse
from
ml.evaluate(model `taxi.hm_taxi_fare_model`, (
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
pickup_longitude as pickuplon,
pickup_latitude as pickuplat,
dropoff_longitude as dropofflon,
dropoff_latitude as dropofflat,
passenger_count as passengers,
(tolls_amount + fare_amount) as total_fare,
daysofweek[ordinal(extract(dayofweek from pickup_datetime))] as dayofweek,
extract(hour from pickup_datetime) as hourofday
from
`nyc-tlc.yellow.trips`,
daynames,
params
where
trip_distance > 0
and fare_amount > 0
and mod(abs(farm_fingerprint(cast(pickup_datetime as string))), 1000) = params.eval
)
select *
from
taxitrips
));