8000 [MRG] Reduce hard-coding in "Gaussian Mixture Model Selection" example by yunesj · Pull Request #15401 · scikit-learn/scikit-learn · GitHub
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[MRG] Reduce hard-coding in "Gaussian Mixture Model Selection" example #15401

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yunesj
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@yunesj yunesj commented Oct 29, 2019

What does this implement/fix? Explain your changes.

The example plotted the best model, but the code only worked if the best model found had a full covariance matrix. Some other parts, like the title for the plot of the best model, were also hard-coded. This change reduces the amount of fixed code to work in more cases.

…riance types and a wider range or components
@cmarmo
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cmarmo commented Sep 2, 2020

Hi @yunesj, I know it has been a while... sorry for that. If you are still interested in working on that do you mind fixing conflicts? Thanks!

Base automatically changed from master to main January 22, 2021 10:51
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cmarmo commented Sep 9, 2022

I am closing this PR as some modifications have already been applied in #17418.
@ArturoAmorQ do you think this example could be added to those needing rework, related to #22406? Thanks!

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