Serena Ruan

@ngo-minh-thang-nguyen You could follow https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.md to get started, you need to clone the github repo and raise a PR

@moghadas76 Please provide code to repro

@alex2308 Could you provide stacktrace?

Is there any logs about why the worker timeout? BTW what's the code to repro? Details about logging the model with code_paths should be helpful

Could you make sure the same folder has been copied over to the `code` directory under `models` folder? Another thing worth trying is to load the model locally and see...

I think in such case it's sagemaker's problem, from you stacktrace it's like `out of memory`, could you open a ticket to AWS support instead?

I think you should ask them what might be wrong from the sagemaker logs, or ask them for the full stacktrace. BTW you've validated mlflow works fine in all other...

@RRRen94 Could you paste the full stacktrace where it triggers _validate_metric?

@RRRen94 I think the original design is to use `weighted` if "average" method is not set (or None), so to fix the bug I would set "average" to "weighted" if...

Then I think the best effort would be log each class's metric value separately as now mlflow metric doesn't support lists.