Hello, I face a new issue, with the basic sample app.py I can execute

unionml train app:model -i '{"hyperparameters": {"C": 1.0, "max_iter": 1000}}'

, and the workflow execute and run OK in flyte, but when I want to predict

unionml predict app:model -f data/sample_features.json

I've got an error :

TypeError: No automatic conversion found from type <class 'sklearn.linear_model._logistic.LogisticRegression'> to FlyteFile.Supported (os.PathLike, str, Flytefile)

which is a flytekit originated error, my config is unionml 0.2.1, flyteidl 1.5.21, flytekit 1.9.1, scikit-learn 1.3.2, with flyte-binary I'm stuck with this issue, any idea on how to fix, by specifying a type somewhere ? or is it a bug due to some new version of packages ? thanks in advance for any help or hint, at least to workaround this problem, or better I use the s3 storage to store and link the features file ? Slack Conversation

would you mind sharing the code you're trying to run? also, what's the flytekit version? cc @Niels Bantilan

👆 which sample

app.py

code are you using?