Update HSGP prior_linearized example to point to _m_star instead of m_star

[kforeman]

What is this PR about? The docs for pymc.gp.HSGP.prior_linearized refer to m_star to find the number of basis functions used in the approximation, but that value is actually stored as _m_star.

Major / Breaking Changes

• N/A

New features

• N/A

Bugfixes

• N/A

Documentation

• Two small fixes to the prior_linearized docstring in pymc/gp/hsgp_approx.py

Maintenance

• N/A

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:books: Documentation preview :books:: https://pymc--6731.org.readthedocs.build/en/6731/

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[codecov[bot]]

Codecov Report

Merging #6731 (6cf3038) into main (cafb60b) will decrease coverage by 16.64%. The diff coverage is n/a.

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #6731       +/-   ##
===========================================
- Coverage   92.00%   75.36%   -16.64%     
===========================================
  Files          95       95               
  Lines       16190    16190               
===========================================
- Hits        14896    12202     -2694     
- Misses       1294     3988     +2694     

Impacted Files	Coverage Δ
pymc/gp/hsgp_approx.py	24.03% <ø> (-68.27%)	:arrow_down:

... and 40 files with indirect coverage changes

[bwengals]

Hey @kforeman, if you merge the latest master the tests should pass then

[ricardoV94]

@bwengals @danhphan do one of you wants to revive the PR (or anyone else)

[kforeman]

Sorry about that, I was on vacation and then swamped at work so didn't have time to go back and update this - I will tackle it this weekend! Thanks for the poke

[michaelosthege]

I'm pretty sure that the failing tests are unrelated to your change. A rebase on latest main should fix them.

On another note: It would be better to introduce an m_star property instead of telling users to access private attributes

[aloctavodia]

Hi @kforeman I hope everything’s going great! Do you think you might have time to wrap up this PR?