Online forecasting determination for multi-source classification and drift detection

A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:

• initiating a process to perform an inference operation with an inference model associated with a layer of a computing environment at a timestamp;
• determining data associated with a plurality of layers based most-recent data from each of the plurality of layers;
• forecasting values for each of the plurality of layers at the timestamp based on the determined data;
• and
• inputting the forecasted values into a forecasting model to obtain a predicted accuracy of the inference model,
• wherein normal operation is performed when the predicted accuracy is greater than a threshold accuracy, and
• adjustments to the normal operation are performed when the predicted accuracy is equal to or smaller than the threshold accuracy.