Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[ML] Anomaly detection fails to identify linear trend #2740

Open
valeriy42 opened this issue Sep 20, 2024 · 1 comment
Open

[ML] Anomaly detection fails to identify linear trend #2740

valeriy42 opened this issue Sep 20, 2024 · 1 comment

Comments

@valeriy42
Copy link
Contributor

In certain cases with low event rate and large bucket span (e.g. bucket_span: 1d with a single event in the bucket), the anomaly detection model fails to recognize the linear trend. As an effect, is also forecasts a decreasing trend smoothly regressing to the mean as the prediction horizon increases.
Image
Image

@valeriy42
Copy link
Contributor Author

We need to check the parametrization for this edge case. The problem may be related to what we see in #2730 .

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant