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A toolkit for machine learning from time series

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#### Reference Issues/PRs none #### What does this implement/fix? Explain your changes. - Adds a host of performance metrics for anomaly detection (with tests and docs, directly taken from [TimeEval](https://github.com/TimeEval/TimeEval/tree/main/timeeval/metrics)):...

documentation
enhancement
implementing algorithms
anomaly detection
ready for review

Changing workflow from ubuntu 20.04 to ubuntu 22.04

maintenance
full pytest actions

#### What does this implement/fix? Explain your changes. Implements #948. Added tests for new series transformer PLA. #### Does your contribution introduce a new dependency? If yes, which one? No...

enhancement
transformations
codecov actions

#### What does this implement/fix? Explain your changes. Updates Catch22 Notebook (ignore PLA commit history).

documentation
examples

### Describe the issue In all networks module, the parameters handled as input lists have an assertion for the length of the list, but assertions are not a good idea,...

good first issue
maintenance
networks

### Describe the issue Just organizing too many PRs :)) ### Suggest a potential alternative/fix - [x] AEBiGRUNetwork - [x] AEAttentionBiGRUNetwork - [x] AEDCNNNetwork - [x] DCNNNetwork - [x] AEDRNNNetwork...

Multi-rec loss is the mean squared error which takes into account all layers of the encoder and decoder.

enhancement
clustering
networks

Mean Squared Error between encoder and decoder layers summed up for a symmetric deep auto-encoder architecture.

enhancement
clustering

Implementation of Time Series Clusterer based on dilated convolutional neural networks (DCNN).

enhancement
clustering
networks

Implements Clusterer based on Dilated Recurrent Neural Network (DRNN).

enhancement
clustering
networks