[FR] Median aggregation

[loomlike]

Willingness to contribute

No. I cannot contribute a bug fix at this time.

Feature Request Proposal

Median is a statistically important value and oftentimes it makes more sense to use Med over Avg.
In spark, you can compute that via F.expr('percentile_approx(val, 0.5)').

It would be nice to support MED in addition to the existing aggregation methods Feathr supports like SUM, COUNT, MAX, MIN, AVG.

Motivation

What is the use case for this feature?

Example: last week's purchase amount (per day): [$1, $1, $1, $1, $1, $1, $100]
Avg = $15.14
Med = $1

Details

No response

What component(s) does this feature request affect?

• Python Client: This is the client users use to interact with most of our API. Mostly written in Python.
• Computation Engine: The computation engine that execute the actual feature join and generation work. Mostly in Scala and Spark.
• Feature Registry API: The frontend API layer supports SQL, Purview(Atlas) as storage. The API layer is in Python(FAST API)
• Feature Registry Web UI: The Web UI for feature registry. Written in React