[BUG] feature_user_total_purchase_in_90days in get started notebook uses incorrect agg_func

[blrchen]

Willingness to contribute

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

Feathr version

v0.7.2

System information

N/A

Describe the problem

In getting start notebook, the agg_func used for feature_user_total_purchase_in_90days is AVG, it should be corrected to SUM

Feature(name="feature_user_total_purchase_in_90days",
                        key=user_id,
                        feature_type=FLOAT,
                        transform=WindowAggTransformation(agg_expr="cast_float(purchase_amount)",
                                                          agg_func="AVG",
                                                          window="90d"))

Tracking information

No response

Code to reproduce bug

No response

What component(s) does this bug 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

[loomlike]

Thanks for the finding. It will be fixed (to use AVG) along with a fix for the typo in the feature name from the notebook update PR #921

agg_features = [
    Feature(
        name="feature_user_avg_purchase_for_90days",
        key=user_id,
        feature_type=FLOAT,
        transform=WindowAggTransformation(
            agg_expr="cast_float(purchase_amount)", agg_func="AVG", window="90d"
        ),
    )
]

[blrchen]

Closing as this resolved in PR #921.