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UrgenT Help Detecting Performance Regressions Using Machine Learning and Hardware Counters [P]

I’m working on performance regression detection using machine learning/anomaly detection. My setup is basically: Healthy runs are used to learn normal behaviour Regression runs are used to see whether the model detects the anomaly For each counter group I only have about 10 healthy samples I’m currently using leave-one