InferenceNone

InferenceNone is a setting used in machine learning models, especially during training or evaluation, to indicate that the model should not perform predictions or generate outputs. Essentially, it tells the system to set aside the process of making inferences, allowing focus on tasks like training the model's internal parameters or analyzing performance without producing results for new data. This helps ensure that the model’s inference process doesn't interfere with or influence the training phase, keeping the focus on learning underlying patterns rather than on generating actual predictions at that moment.