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Hi, What Would Be The Recommended Way To Add/Track Arbitrary Models To/With Outputmodels? Currently Hacking It By Using Joblib Dump And Subsequently Deleting Unwanted "Local" Files. Arbitrary In This Case Just Extensions To Some Scikitlearn Classes.

Basically I've defined some extended sklearn models, which I import in my ClearML task file and set them up with some initial parameters.

Some pseudocode:
` mdl = SomeExtendedSklearnModel(**params)

Load data

X = load_data(...)

Run

task = Task.init(...)
output_models = OutputModel(task=task, ..., framework="ScikitLearn")
preds = mdl.fit_predict(X)
joblib.dump(mdl, "mdl.pkl") `

  				
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	one year ago

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					SlimyDove85
				
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one year ago