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OS Platform and Distribution (e.g., Linux Ubuntu 20.0):
Python version:
Spark version, if reporting runtime issue:
Describe the problem
Not able to materialize features that are created through Feathr UI. I think the culprit here is the dimension type parameter which we need to provide options such as INT, Flot, String, etc. On the other hand, features created from Jupiter Notebook are taking the default dimension type which is [], this option is not available in Feather UI.
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
The text was updated successfully, but these errors were encountered:
kanth2580
changed the title
Not able to materialize features which are created using Feathr UI.[BUG]
The features created with Feathr UI cannot be materialized.[BUG]
Aug 7, 2023
Feathr version
1.0.0
System information
Describe the problem
Not able to materialize features that are created through Feathr UI. I think the culprit here is the dimension type parameter which we need to provide options such as INT, Flot, String, etc. On the other hand, features created from Jupiter Notebook are taking the default dimension type which is [], this option is not available in Feather UI.
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 ReactThe text was updated successfully, but these errors were encountered: