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When computing metrics using sliding window, it is a common scenario that a metric computes against all features the Feathub job ha processed so far, which means the window_size is infinite and no retraction needed. We should optimize SlidingWindowTransform in this use case and increase its performance.
The text was updated successfully, but these errors were encountered:
When computing metrics using sliding window, it is a common scenario that a metric computes against all features the Feathub job ha processed so far, which means the window_size is infinite and no retraction needed. We should optimize SlidingWindowTransform in this use case and increase its performance.
The text was updated successfully, but these errors were encountered: