Derandomize notebooks

[romanlutz]

Description

Our notebooks (with one exception) all use randomized ML techniques, meaning the trained model is different in every single execution. This makes testing somewhat difficult to impossible (as we'd be restricted to test for only the things that remain constant). To fix this, I added random_state and set it to a constant, and for the pytorch notebook I set a manual seed. Note that this doesn't affect the user experience. Users can always choose to delete this or change the random seed, of course.

This is another PR that was part of #1467 but is now separate to simplify #1467

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

Merging #1507 (64f376d) into main (587c1ec) will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##             main    #1507   +/-   ##
=======================================
  Coverage   87.56%   87.56%           
=======================================
  Files         108      108           
  Lines        5081     5081           
=======================================
  Hits         4449     4449           
  Misses        632      632           

Flag	Coverage Δ
unittests	87.56% <ø> (ø)

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[github-actions]

https://responsibleai.blob.core.windows.net/pullrequest/microsoft/responsible-ai-toolbox/romanlutz/derandomize_notebooks/dashboard/index.html