FIX, DOC: Fix SVC probability with array API inputs

[david-cortes-intel]

Description

Fixes an issue in which calling SVC(probability=True).fit(...) with array API classes succeeds in the first stage of fitting the model, but then errors out when trying to calibrate it at the end of the call to .fit().

Along the way, documents the limitations of how this works on GPU.

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Checklist:

Completeness and readability

• 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 updates 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 resolved any merge conflicts that might occur with the base branch.

Testing

• I have run it locally and tested the changes extensively.
• All CI jobs are green or I have provided justification why they aren't.

[david-cortes-intel]

/intelci: run

[codecov]

Codecov Report

❌ Patch coverage is 83.33333% with 1 line in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
sklearnex/svm/_classes.py	0.00%	1 Missing ⚠️

Flag	Coverage Δ
azure	79.74% <83.33%> (?)
github	81.76% <83.33%> (-0.12%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
sklearnex/svm/_base.py	87.38% <100.00%> (-1.95%)	⬇️
sklearnex/svm/_classes.py	83.47% <0.00%> (-0.74%)	⬇️

... and 25 files with indirect coverage changes

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[david-cortes-intel]

/intelci: run