So far, SimbaML uses a model_to_transfer_learning_model function to turn any model into a transfer learning model (see model_to_transfer_learning_model.py). As this has some negative side effects (such as non-transfer learning models having transfer learning-specific model parameters), we would prefer to remove the conversion from the model to the transfer learning model and define transfer learning models as stand-alone models.
So far, SimbaML uses a model_to_transfer_learning_model function to turn any model into a transfer learning model (see model_to_transfer_learning_model.py). As this has some negative side effects (such as non-transfer learning models having transfer learning-specific model parameters), we would prefer to remove the conversion from the model to the transfer learning model and define transfer learning models as stand-alone models.