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Is there a way to automatically retrieve (via a recipe) features importances of a partitioned model, by partition, in DSS please ?
I tried to do it through a python recipe with the following code:
import dataiku import pandas as pd client = dataiku.api_client() project = client.get_project(dataiku.default_project_key()) model = project.get_saved_model("BE8E0mVs") perf = model.get_version_details('initial').get_raw().get("iperf")
But then perf is empty, I cannot do perf.retrieve("rawImportance") as suggested here. The code snippet works on an unpartitioned model though.