Hi,
I have a Google Colab notebook with some functions (Python) that been used to calculate the features for a model.
The functions use as inputs data from an API.
The question is if I can or should calculate the features inside a Features Store and feed the results to the Model?
Or in which Instance do I need to make the calculations and then feed the results into the model?
It is possible to use Vertex AI Features Store to Fetch the data, so you can use it as a part of the Vertex AI Workflow to train Custom or AutoML models in Vertex.
You can see here[1] the Vertex AI workflow.
[1]https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide#workflow