I am attempting to move some machine learning code from a databricks notebook into a mlflow git repository. I am utilizing the databricks feature store to load features that have been processed. Currently I cannot get the databricks library to import when running 'mlfow run ... -b databricks`. Is it possible to use the feature store from within mlflow run cli command if the job is being executed on the databricks backend?
Hm, what error do you get? I believe you won't be able to specify the feature store library as a dependency, as it's not externally published yet, but code that uses it should run on DB ML runtimes as it already exists there
Hi @Alex.G! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers on the community have an answer to your question first. Or else I will follow up shortly with a response.
Hm, what error do you get? I believe you won't be able to specify the feature store library as a dependency, as it's not externally published yet, but code that uses it should run on DB ML runtimes as it already exists there
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