Hi there, I raised this in issue #724. I have been trying to run experiments with a fairly new sklearn-extra classifier (https://github.com/Alex7Li/scikit-learn-extra/tree/master/sklearn_extra). The classifier runs fine on a local dataset. However, when I am trying to run it on an openml task, I am getting an error.

Here is a minimal example:

# define classifier
from sklearn_extra.fast_kernel import FKC_EigenPro
clf = FKC_EigenPro()
# get task
task = openml.tasks.get_task(3)
# run model on task
run = openml.runs.run_model_on_task(clf, task)
# publish run on openml
run.publish()

AttributeError Traceback (most recent call last)
in
4 task = openml.tasks.get_task(3)
5 # run model on task
----> 6 run = openml.runs.run_model_on_task(clf, task)
7 # publish run on openml
8 run.publish()

/miniconda3/lib/python3.7/site-packages/openml/runs/functions.py in run_model_on_task(model, task, avoid_duplicate_runs, flow_tags, seed, add_local_measures, upload_flow, return_flow)
104 seed=seed,
105 add_local_measures=add_local_measures,
--> 106 upload_flow=upload_flow,
107 )
108 if return_flow:

/miniconda3/lib/python3.7/site-packages/openml/runs/functions.py in run_flow_on_task(flow, task, avoid_duplicate_runs, flow_tags, seed, add_local_measures, upload_flow)
172 task, flow = flow, task
173
--> 174 flow.model = flow.extension.seed_model(flow.model, seed=seed)
175
176 # We only need to sync with the server right now if we want to upload the flow,

AttributeError: 'NoneType' object has no attribute 'seed_model'

You mentioned that this should be fixed via #722, but I am still encountering the same error.

@amueller