Retrieve feature importance from partioned model

[julesbertrand]

Hello, 

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.

Thanks

[AlexT · Accepted solution]

Hi @julesbertrand ,

The get_predictor() and get_version_metrics() are not yet supported for partitioned models. We do have this feature request in our backlog.

Thanks,

[June]

I'd like to upvote the backlog enhancement for support of partitioned models in the API.  Share the link to the enhancement request?