fix builds by supporting sparse_output renamed parameter in OneHotEncoder in new scikit-learn version update

[imatiach-msft]

Description

fix builds by supporting sparse_output renamed parameter in OneHotEncoder in new scikit-learn version update

Builds are failing due to a parameter rename in scikit-learn package, which just recently released a new version:

https://github.com/microsoft/responsible-ai-toolbox/actions/runs/7619055180/job/20874745412?pr=2499

                ("imputer",
                    SimpleImputer(strategy='constant', fill_value='missing')),
>               ("encoder", OneHotEncoder(sparse=False))]), ["embarked"]),
            ("sex_pclass", OneHotEncoder(sparse=False), ["sex", "pclass"])
        ])
E       TypeError: __init__() got an unexpected keyword argument 'sparse'

For more context please see scikit-learn docs:
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html

sparse_outputbool, default=True
When True, it returns a [scipy.sparse.csr_matrix](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.html#scipy.sparse.csr_matrix), i.e. a sparse matrix in “Compressed Sparse Row” (CSR) format.

New in version 1.2: sparse was renamed to sparse_output

This PR updates notebooks and test utilities to support both variants depending on the scikit-learn version in the build.
Note that rai-test-utils will need to be released at some point with the updates. For now, I've added a local install where required in the builds.

Checklist

• I have added screenshots above for all UI changes.
• I have added e2e tests for all UI changes.
• Documentation was updated if it was needed.

[codecov-commenter]

Codecov Report

Attention: 3 lines in your changes are missing coverage. Please review.

Comparison is base (7ff3476) 83.05% compared to head (e8c92c3) 92.36%.

Files	Patch %	Lines
...i_test_utils/models/sklearn/sklearn_model_utils.py	40.00%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2507      +/-   ##
==========================================
+ Coverage   83.05%   92.36%   +9.31%     
==========================================
  Files          65      108      +43     
  Lines        3169     5424    +2255     
==========================================
+ Hits         2632     5010    +2378     
+ Misses        537      414     -123     

Flag	Coverage Δ
unittests	92.36% <40.00%> (+9.31%)	⬆️

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[github-actions]

https://responsibleai.blob.core.windows.net/pullrequest/microsoft/responsible-ai-toolbox/ilmat/update-sparse-output/dashboard/index.html

[github-actions]

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