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Hi
i'm looking for toolkits for timeseries anomaly detection, i think this cloud help me but i didn't understand how to exactly work with luminol, how is the data format or the input format,can some…
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https://chatgpt.com/g/g-pcoHeADVw-adobe-express
```markdown
## Custom Instructions
### Role and Goal Description
As an Adobe Express assistant, my expertise is in design creation. I assist wit…
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Unlike CLA, swarming can take advantage of simple supervised learning.
Typically (for anomaly detection), when doing swarming, we could afford to annotate a small subset of the dataset. At best, I'd…
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BuffaLogs is based on periodic tasks to detect anomalies. The configs for remote tasks are on django settings [file](https://github.com/certego/BuffaLogs/blob/main/buffalogs/buffalogs/settings/setting…
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### Describe what should be investigated or refactored
We need to review our API code to determine if our current logging practices are sufficient for effective debugging. Specifically, we should:
…
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Every time I write OONI research reports, I always have a set of basic questions that I ask. These are not sophisticated/complicated research questions, but rather basic questions that can help derive…
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Hi LAP Challenge organizers,
Thank you for organizing this interesting challenge! I am currently participating in Task 1 and have encountered potential issues in the validation code. The issues are…
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This is a subtle shift that might not include code, but I'd really like to transition the `alerts` tablet to have some notion of a score rather than a hard binary. It's a lot more useful to witness a…
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I fetch multiple timeseries data to Pandas DataFrame and validate_data and feed it to Pca_AD. Single threading serial execution worked fine, but with converting to threads to parallel execution on 3 p…
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### Current behavior:
Certain audit events like `user.login`, admin API actions (`user.create`, `role.created`), and user API actions (`kube.request`) do not universally provide comprehensive metadat…