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Data Engineering
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Handling Aggregations in Feature Function

NaeemS
New Contributor III

Hi,

Is it possible to cater aggregation using Feature Functions somehow. As we know that the logic defined in feature function is applied on a single row when a join is being performed. But do we have any mechanism to handle to aggregations too somehow in our pipeline. We have methods like Pandas UDF ( with group by ) and UDAFs in Scala. Can we somehow leverage any of those for logging the group by and other conditions to automate our whole pipeline including the grouping and filtering conditions.

Thanks in Advance!

1 REPLY 1

NaeemS
New Contributor III

Hi @Retired_mod ,

Thanks for your reply. I'm familiar with both of these. But I was wondering if can include that part while logging our pipeline using feature stores to handle the grouping and filtering as well.

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