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A toolkit for machine learning from time series

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What does this implement/fix? Explain your changes. Checking for valid algorithm types #1952 ##### For all contributions - [x] I've added myself to the [list of contributors](https://github.com/aeon-toolkit/aeon/blob/main/.all-contributorsrc). Alternatively, you can...

maintenance

#### Reference Issues/PRs Fixes #2108 #### What does this implement/fix? Explain your changes. Implements `PyODAdapter` for `IsolationForest` in `anomaly_detection` along with some test cases. #### Does your contribution introduce a...

enhancement
anomaly detection

#### Reference Issues/PRs Issue: #1637 #### What does this implement/fix? Explain your changes. Implemented LSTM-AD algorithm for time series anomaly detection. #### Does your contribution introduce a new dependency? If...

enhancement
anomaly detection

### Describe the bug more legacy nonsense. The functions geometric_mean_absolute_error and geometric_mean_squared_error contain untested code ``` output_errors = _weighted_geometric_mean( np.abs(errors), sample_weight=horizon_weight, axis=0, ) ``` but the actual signature of _weighted_geometric_mean...

bug

### Describe the bug some legacy code in weighted_metrics allows None arguments for the weights, then tests weights.ndim, so crashes if you dont pass weights. I would KWF but its...

bug

### Describe the feature or idea you want to propose Density Peaks (DP) has been used in the TSCL literature. In a recent benchmark paper it was used: https://www.sciencedirect.com/science/article/pii/S2666827020300013. It...

enhancement
clustering
implementing algorithms

### Describe the feature or idea you want to propose The R-Clustering clusterer is a recently proposed TSCL algorithm using random convolutional kernels (Rocket) with a dimensionality reduction algorithm with...

enhancement
clustering
implementing algorithms

### Describe the feature or idea you want to propose USSL is a feature based TSCL algorithm that achieves state-of-the-art performance. The paper that proposes it is linked here: https://ieeexplore.ieee.org/document/8386690...

enhancement
clustering
implementing algorithms

### Describe the feature or idea you want to propose SOM has been used with DTW in the literature and is easily extendable to all the elastic distances we have...

enhancement
clustering
implementing algorithms

### Describe the feature or idea you want to propose A popular clusterer in the TSCL literature is the k-Spectral Centroid (k-SC). A link to the paper can be found...

enhancement
clustering
implementing algorithms