[ENH] Added OneClassSVM to the anomaly detection module

[pattplatt]

As discussed on friday, here is the implementation of the OneClassSVM for the Anomaly Detection module. Let me know what you think :)

What does this implement/fix? Explain your changes.

This PR includes the implementation of the OneClassSVM from scikit learn for anomaly detection.

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I have added the following labels to this PR based on the title: [ $\color{#FEF1BE}{\textsf{enhancement}}$ ].
I have added the following labels to this PR based on the changes made: [ $\color{#6F6E8D}{\textsf{anomaly detection}}$ ]. Feel free to change these if they do not properly represent the PR.

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[SebastianSchmidl]

Well done 👍🏼 I just have some minor remarks regarding the documentation.
Once the CI passes, we can merge this.

[SebastianSchmidl]

Please fix the line-length and run pre-commit locally again to address the CI failure in PR pre-commit:

flake8...................................................................Failed
- hook id: flake8
- exit code: 1

aeon/anomaly_detection/_one_class_svm.py:33:89: E501 line too long (110 > 88 characters)

[pattplatt]

I think the pre-commit was successful now 👍