[FEATURE REQUEST]: Link multiple vector udf calls with different params

[bolcman]

Hi ,

Is there a way i can link multiple vUdf function calls on the same DataFrame partitions with different parameters ?
Ideally i would need to replicate something like example below where px, and cy are different parameters that i'm passing.
So idea is to reuse the same partitions, and have all this functions as a separate tasks.

the problem that i'm facing now with passing all parameters together in one call, is that potentially i can end with a lot of output rows, so just trying to break it down somehow. And yes, in order to do this calc correctly i need to do it on particular cEntity level.

var results = scope.GroupBy(Column("cEntity")).Apply(OutputSchema,
records => Calculator.DoWork(records, p1, c1),
records => Calculator.DoWork(records, p2, c2),
records => Calculator.DoWork(records, p3, c3)....);

Thanks,
Aleks