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Hi Guys,
I Have A Question Regarding Model Tracking.
I Have Pipelines That Use Xgboost Through The Scikit-Learn Api To Perform:
Hey @<1569858449813016576:profile|JumpyRaven4> , about your first point, what exactly is the question?
About your second point - you can try to manually save the final model and give it a proper file name, that way we will show it in the UI with the name you provided. Make sure to use xgboost.save_model
and not raw pickle.
For your final question , given that your models have customised code, I can suggest trying to use clearml.OutputModel
which will register the file you provide it as the serialized model. Meaning it’s going to be your responsibility to decide how to serialize/deserialize the model
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one year ago
one year ago