首页|Patent Issued for Data drift impact in a machine learning model (USPTO 12056586)
Patent Issued for Data drift impact in a machine learning model (USPTO 12056586)
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News editors obtained the following quote from the background information suppli ed by the inventors:“A machine learning model may not perform as well during de ployment in production as it did whenvalidating it offline. This can be because the distribution of data that a machine learning model is exposedto can change over time, commonly referred to as data drift or feature drift. The drift can b e gradual orcan happen overnight and cause the model’s performance or output to change. Tracking changes in dataand understanding how these changes affect mod el performance is critical to understanding if a machinelearning model is worki ng appropriately.”
Arize Ai Inc.BusinessCyborgsEmergi ng TechnologiesMachine Learning
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