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Assertion error when evaluating a groundtruth with zeros and ones against a prediction that is only made of zeros #76

@nesrnesr

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@nesrnesr

Hello, thank you for the implementation. However, as the title indicates, when I want to assess the performance of a prediction (that says that the full time-serie is normal) compared to a ground-truth that says otherwise (contains anomalies), the code raises an assertion error. Shouldn't the score be indicating 0 since the predictions failed to predict that there are anomalies that were not detected?

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