DriftNone

DriftNone is a setting in machine learning that indicates no change or "drift" in data patterns over time. When selected, it assumes the data used for training remains consistent and stable, without evolving or shifting. This helps ensure the model's predictions stay accurate by not accounting for potential changes in data distribution. Essentially, DriftNone is like assuming the environment stays the same, making it suitable when data is known to be stable and unlikely to change significantly.