Time series classifiers refactor/Shape_DTW

[Piyush1729]

Reference Issues/PRs

Fixes a task of #1146 TSC refactor for ShapeDTW.

What does this implement/fix? Explain your changes.

Refactor ShapeDTW class according to the new extension template.
1.) fit, predict, and predict_proba turned private.
2.) Added _tags
3.) Removed unnecessary imports.
4.) removed input checks

Does your contribution introduce a new dependency? If yes, which one?

No

What should a reviewer concentrate their feedback on?

Any other comments?

PR checklist

For all contributions

• I've added myself to the list of contributors.
• Optionally, I've updated sktime's CODEOWNERS to receive notifications about future changes to these files.
• I've added unit tests and made sure they pass locally.

For new estimators

• I've added the estimator to the online documentation.
• I've updated the existing example notebooks or provided a new one to showcase how my estimator works.

[TonyBagnall]

hi, looks good, but we have decided to not override the tags unless they are different to the base class values. You can basically remove the _tags all together for this class, since it has the default values

[Piyush1729]

hi, looks good, but we have decided to not override the tags unless they are different to the base class values. You can basically remove the _tags all together for this class, since it has the default values

Done.

[Piyush1729]

Hi @TonyBagnall , @MatthewMiddlehurst forecasting/model_evaluation/tests/test_evaluate.py::test_evaluate_common_configs[scoring0-refit-1-7--3-ExpandingWindowSplitter]
Has failed, which is not relevant to any modification done in this PR.

[TonyBagnall]

hi, this is I think an intermittent bug, nothing to do with your PR. If you trigger a rebuild it should go away!

[Piyush1729]

Hi, is there a rebuild option without commiting again

[MatthewMiddlehurst]

For the test that failed yes. I have set it to run again.

[TonyBagnall]

thanks for the contribution