![]() ![]() To give a trained model a meaningful name, you can register the output of Train Model component as a file dataset. Naming convention follows "MD - pipeline draft name - component name - Trained model ID" pattern. In designer, the trained models are automatically registered as file dataset with a system generated name. In Studio (classic), all trained models are saved in "Trained Models" category in the module list. Sometimes you may want to save the model trained in a pipeline and use the model in another pipeline later. Save trained model to use in another pipeline ![]() Therefore, prediction result may vary between the designer and Studio (classic). However Studio (classic) uses a Microsoft internal C# library. Use the 70_driver_log to see information related to your user-submitted script such as errors and exceptions.ĭesigner components use open source Python packages to implement machine learning algorithms.
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