issue #297: visualize group sparsity in example group_logistic_regression #299
  Add this suggestion to a batch that can be applied as a single commit.
  This suggestion is invalid because no changes were made to the code.
  Suggestions cannot be applied while the pull request is closed.
  Suggestions cannot be applied while viewing a subset of changes.
  Only one suggestion per line can be applied in a batch.
  Add this suggestion to a batch that can be applied as a single commit.
  Applying suggestions on deleted lines is not supported.
  You must change the existing code in this line in order to create a valid suggestion.
  Outdated suggestions cannot be applied.
  This suggestion has been applied or marked resolved.
  Suggestions cannot be applied from pending reviews.
  Suggestions cannot be applied on multi-line comments.
  Suggestions cannot be applied while the pull request is queued to merge.
  Suggestion cannot be applied right now. Please check back later.
  
    
  
    
Context
The example
plot_group_logistic_regression.pywas missing a plot, so it looked empty in the doc gallery.Contributions of the PR
This PR adds a simple bar plot to the example
plot_group_logistic_regression.pyto visualize group sparsity after training.The plot shows the L2 norm of coefficients for each group, illustrating which groups were kept or removed by the regularization.
Note:
Due to the small synthetic dataset, interpretability of the resulting sparsity pattern is limited.
Checklist before merging
Closes issue #297