Enable serialization in daal4py algorithm classes

[david-cortes-intel]

Description

fixes #425

This PR adds support for serialization of the algorithm classes in daal4py.

Since they do not store data nor results, the logic is simply to store the init parameters that were passed, and call the initializer again with those same parameters.

I wasn't sure where to add a unit test for this so I created a new test file.

---

Checklist to comply with before moving PR from draft:

PR completeness and readability

• I have reviewed my changes thoroughly before submitting this pull request.
• I have commented my code, particularly in hard-to-understand areas.
• I have updated the documentation to reflect the changes or created a separate PR with update and provided its number in the description, if necessary.
• Git commit message contains an appropriate signed-off-by string (see CONTRIBUTING.md for details).
• I have added a respective label(s) to PR if I have a permission for that.
• I have resolved any merge conflicts that might occur with the base branch.

Testing

• The unit tests pass successfully.
• I have run it locally and tested the changes extensively.

Performance

• I have measured performance for affected algorithms using scikit-learn_bench and provided at least summary table with measured data, if performance change is expected.
• I have provided justification why performance has changed or why changes are not expected.

[samir-nasibli]

@david-cortes-intel please address fails. Moving to draft for now

[david-cortes-intel]

/intelci: run

[icfaust]

If you could add another algo to the test, I would be happy. Still good to merge as is. Honestly impressive work.

[david-cortes-intel]

Added a test with KMeans also.

[david-cortes-intel]

The failing CI jobs appear to be happening elsewhere too and are unrelated to the changes here.