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# Background Research
**Completion Deadline:** November 20th, 2024
The sktime sibling issue to this one is https://github.com/sktime/sktime/issues/6481, we can add our desired annotation algorit…
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### Describe the bug
When I fix `split="train"`, I get below error.
### Steps/Code to reproduce the bug
```python
from aeon.datasets import load_anomaly_detection
X_train, y_train= load_anomaly_d…
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### Describe the feature or idea you want to propose
The package [`prts`](https://github.com/compml/prts) is used in the performance evaluation module for anomaly detection as a soft-dependency. Ho…
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The basic idea and methodology of CutAddPaste are highly similar to the ICLR23 paper AnomalyBERT [1]. However, there is no reference to AnomalyBERT and I can't find any discussion regarding the differ…
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Dear Author,
Thank you for your open-source work; it has significantly advanced the field of time series anomaly detection (TSAD). However, I have some questions. In the code, you use the training …
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### Describe the feature or idea you want to propose
The [`PyODAdapter`](https://github.com/aeon-toolkit/aeon/blob/main/aeon/anomaly_detection/_pyodadapter.py) in aeon allows us to use any outlier …
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## Refer
- Refer to #1, #2, #3 for understanding what you are suppose to do.
- The issues have advanced and difficult models. However as part of evaluation i have picked 1-2 model from each of #1,…
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Hello,
Thanks for this great tool. I would like to ask if it supports unsupervised anomaly detection for unlabeled time series.
Regards,
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Follow the new model tutorial (the Oregon COVID data example may also be
helpful).
Then try to implement a model using Orion
https://sintel.dev/Orion/
https://github.com/sintel-dev/Orion
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整体系统框架
```mermaid
graph TB
subgraph Data_Collection["数据采集层"]
A1[Kong API Gateway]
A2[Service Mesh]
A3[Infrastructure]
end
subgraph Data_Processing["数据处理层"…