update: update algorithm.rst based on current implementation

[yuejiaointel]

This PR updates the sklearnex doc with new features implemented. Specifically, it gets updated based on each algorithm file _onedal_supported function.
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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Flag	Coverage Δ
azure	79.91% <ø> (?)
github	71.62% <ø> (+<0.01%)	⬆️

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Files with missing lines	Coverage Δ
...x/basic_statistics/incremental_basic_statistics.py	96.03% <ø> (ø)
sklearnex/covariance/incremental_covariance.py	91.42% <ø> (ø)
sklearnex/linear_model/incremental_linear.py	83.45% <ø> (ø)
sklearnex/linear_model/incremental_ridge.py	86.66% <ø> (ø)

... and 43 files with indirect coverage changes

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[david-cortes-intel]

I think it's also missing some details about specifics of support - for example, for TSNE, it only works with n_components=2.

[david-cortes-intel]

Also appears to be missing some algorithms like ExtraTrees.

[yuejiaointel]

Also appears to be missing some algorithms like ExtraTrees.

Added! thx

[david-cortes-intel]

Not related to the aim of this PR, but I'm thinking it'd be nice to have the classes listed here offer clickable links to the sklearn docs. Since we have intersphinx with sklearn confgured on it, it could be done with something like this:

:obj:`sklearn.ensemble.ExtraTreesClassifier`

or

:obj:`ExtraTreesClassifier <sklearn.ensemble.ExtraTreesClassifier>`

[david-cortes-intel]

@yuejiaointel Please merge the main branch here which has the numpydoc check. Some headers like 'Data formats' are not part of numpydoc format.

[david-cortes-intel]

@yuejiaointel It still seems to be missing some algorithms. For example, logistic regression is supported on GPU under some constraints, but it's not mentioned in this table. Just realized this was a case of github not rendering the .rst file correctly, now I see they are actually included.

[david-cortes-intel]

LGTM, but please address the formatting errors catched by the doc CI.