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A toolkit for machine learning from time series
Dependent on the AEAttentionBiGRUNetwork. Some changes will have to be made after AEAttentionBiGRUNetwork is reviewed.
Implements a Deep Clusterer using the `AEBiGRUNetwork`. Depends on #1583
Implements Attention Bidirectional Gated Recurrent Unit based Auto Encoder .
Implements Network based on Dilated Recurrent Neural Networks.
Implement Dilated Convolutional Neural Network based Auto-Encoder.
#### Reference Issues/PRs Fixes #1595 #### What does this implement/fix? Explain your changes. Replace `TimeSeriesKShapes` with `TimeSeriesKShape` as the original name is K-Shape #### Does your contribution introduce a new...
#### Reference Issues/PRs - Part of #1910 - References #1454 #### What does this implement/fix? Explain your changes. - Add type hints to `__init__` method in _shapelet_transform.py #### Does your...
See also: #1654 - [x] PyOD adapter for anomaly detection #1586 - [ ] Performance metrics for anomaly detection (PR-AUC or PR-VUS) #1938 - [ ] Examples notebook for anomaly...
### Describe the issue linked to the documentation Aeon is still missing the anomaly detection getting started notebook (linked from the home page): https://www.aeon-toolkit.org/en/stable/examples/anomaly_detection/anomaly_detection.html PR #1932 introduced some general documentation...