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Hi! I Was Wondering Why Clearml Recognize Scikit-Learn Scalers As Input Models... Am I Missing Something Here? For Me It Would Make Sense To Include The Scalers As A Configuration Object Of The Trained Model, Not Outside

I'm using the last commit. I'm just fitting a scikit-learn MinMaxScaler object to a dataset of type tf.data.Dataset inside a function (which represents the model training step) decorated with PipelineDecorator.component . The function does not even return the scaler object as an artifact. However, the scaler object is logged as an artifact of the task, as shown in the image below.

  
  
Posted 4 years ago
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GiganticTurtle0
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4 years ago
2 years ago