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Running anomaly_detector.py seems to generate the following error. Could someone help?
anomaly_detector.py
RuntimeError Traceback (most recent call last) <ipython-input-11-1f043cf1d658> in <module>() 110 label=TimeseriesData.testLabel.to(args.device)) 111 print('data: ',args.data,' filename: ',args.filename, --> 112 ' f-beta (no compensation): ', f_beta.max().item(),' beta: ',args.beta) 113 if args.compensate: 114 precision, recall, f_beta = get_precision_recall(args, score, num_samples=1000, beta=args.beta, RuntimeError: operation does not have an identity.
PS: I'm using a custom dataset.
The text was updated successfully, but these errors were encountered:
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Running
anomaly_detector.py
seems to generate the following error. Could someone help?PS: I'm using a custom dataset.
The text was updated successfully, but these errors were encountered: