[ENH] Allow sampling feature sets separately in MultiViewDTC

[adam2392]

Changes proposed in this pull request:

• Allows feature-sets to be sampled with the same scaling factor when max_features is a float, 'sqrt', or 'log'
• Adds an experiment demonstrating multi-view superiority on a set of simulations when the feature-size of the second view in a 2-view dataset increases. All other simulation parameters are held constant (examples/hypothesis_testing/plot_co_MIGHT_alternative.py and examples/hypothesis_testing/plot_co_MIGHT_null.py)

The main files to take a look at are:

• sktree/stats/forestht.py
• sktree/tree/_multiview.py
• sktree/tree/_oblique_splitter.pxd
• sktree/tree/_oblique_splitter.pyx

The rest are cosmetic fixes, or small documentation issues I noticed.

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  Writing docstrings section of the CONTRIBUTING docs.
• If this PR fixes a bug, I've added a test that will fail without my fix.
• If this PR adds a new feature, I've added tests that sufficiently cover my new functionality.

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[codecov]

Codecov Report

Attention: 16 lines in your changes are missing coverage. Please review.

Comparison is base (030a064) 89.59% compared to head (bb08d5d) 90.52%.
Report is 2 commits behind head on main.

Files	Patch %	Lines
sktree/stats/forestht.py	79.48%	8 Missing ⚠️
sktree/tree/_multiview.py	83.33%	5 Missing ⚠️
sktree/experimental/monte_carlo.py	95.52%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #152      +/-   ##
==========================================
+ Coverage   89.59%   90.52%   +0.92%     
==========================================
  Files          46       48       +2     
  Lines        3710     4020     +310     
==========================================
+ Hits         3324     3639     +315     
+ Misses        386      381       -5     

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[adam2392]

The main files to take a look at are:

• sktree/stats/forestht.py
• sktree/tree/_multiview.py
• sktree/tree/_oblique_splitter.pxd
• sktree/tree/_oblique_splitter.pyx

The rest are cosmetic fixes, or small documentation issues I noticed.

[sampan501]

Few minor things, but looks good to me