Netherlands: Software

Introductie van Micorosoft SQL Server 2016

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124 C H A P T E R 6 | More analytics mod <- unserialize(as.raw(model)); print(summary(mod)) OutputDataSet<-rxPredict(modelObject = mod, data = InputDataSet, outData = NULL, predVarNames = "Score", type = "response", writeModelVars = FALSE, overwrite = TRUE); str(OutputDataSet) print(OutputDataSet)', @input_data_1 = @inquery, @params = N'@model varbinary(max), @passenger_count int, @trip_distance float, @trip_time_in_secs int, @pickup_latitude float, @pickup_longitude float, @dropoff_latitude float, @dropoff_longitude float', @model = @lmodel2, @passenger_count =@passenger_count , @trip_distance=@trip_distance, @trip_time_in_secs=@trip_time_in_secs, @pickup_latitude=@pickup_latitude, @pickup_longitude=@pickup_longitude, @dropoff_latitude=@dropoff_latitude, @dropoff_longitude=@dropoff_longitude WITH RESULT SETS ((Score float)); END

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