Hi,
I'm implementing a machine learning pipeline using feature stores and I'm running into a limitation with feature functions. I'd like to perform multiple calculations on my columns with some minor adjustments, but I need to pass a static parameter to control the behavior of the function.
Can I pass a static parameter to a feature function to control its behavior? For example, I want to aggregate values from an array and pass an index as a condition up to which I want to sum. This index would be a static parameter, not a value inside a column. Can I do this using a single function instead of defining a different functions for each condition?
Additionally, is it possible to use a single function to perform operations like sum on different numbers of columns (e.g., sum 2 columns, sum 3 columns, etc.)?
Thanks for your help!
