feat(skore): Add select_k and sorting_order to mdi and permutation displays

[GaetandeCast]

Closes #2473 and closes #2474.
This PR adds the select_k and sorting_order parameters to the frame and plot methods of the PermutationImportanceDisplay and ImpurityDecreaseDisplay, based on what already exists for the CoefficientsDisplay. It also raises a new error when select_k=0 for the plot to fail gracefully.

Contribution checklist

• Unit tests were added or updated
• The code passes our style conventions
• All the tests pass
• The documentation builds and renders properly
• A new changelog entry was added to CHANGELOG.rst
• All the commits in the PR are signed
• The pull request title respects the Conventional Commits convention

AI usage disclosure

AI tools were involved for:

• Code generation (e.g., when writing an implementation or fixing a bug)
• Test generation
• Documentation (including examples)
• Research and understanding

[github-actions]

Documentation preview @ 9a84460

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Cover	Missing
skore/src/skore
__init__.py	28	0	100%
_config.py	44	1	97%	57
exceptions.py	4	4	0%	4, 15, 19, 23
skore/src/skore/_project
__init__.py	0	0	100%
_summary.py	80	1	98%	121
_widget.py	195	0	100%
login.py	13	2	84%	65–66
plugin.py	12	0	100%
project.py	54	2	96%	153, 162
types.py	3	0	100%
skore/src/skore/_sklearn
__init__.py	7	0	100%
_base.py	58	8	86%	227–234
evaluate.py	27	1	96%	133
feature_names.py	26	0	100%
find_ml_task.py	61	0	100%
types.py	28	1	96%	30
skore/src/skore/_sklearn/_comparison
__init__.py	7	0	100%
inspection_accessor.py	34	1	97%	394
metrics_accessor.py	131	2	98%	247, 909
report.py	111	3	97%	497, 500, 506
skore/src/skore/_sklearn/_cross_validation
__init__.py	9	0	100%
data_accessor.py	31	1	96%	48
inspection_accessor.py	34	1	97%	373
metrics_accessor.py	115	1	99%	849
report.py	103	4	96%	406, 441, 444, 450
skore/src/skore/_sklearn/_estimator
__init__.py	9	0	100%
data_accessor.py	45	1	97%	167
inspection_accessor.py	34	0	100%
metrics_accessor.py	259	2	99%	311, 1144
report.py	142	2	98%	428, 431
skore/src/skore/_sklearn/_plot
__init__.py	3	0	100%
base.py	59	2	96%	60–61
utils.py	121	2	98%	273–274
skore/src/skore/_sklearn/_plot/data
__init__.py	2	0	100%
table_report.py	176	1	99%	665
skore/src/skore/_sklearn/_plot/inspection
__init__.py	0	0	100%
coefficients.py	178	0	100%
impurity_decrease.py	100	2	98%	435, 479
permutation_importance.py	197	1	99%	591
utils.py	32	0	100%
skore/src/skore/_sklearn/_plot/metrics
__init__.py	6	0	100%
confusion_matrix.py	164	0	100%
metrics_summary_display.py	99	0	100%
precision_recall_curve.py	108	0	100%
prediction_error.py	172	0	100%
roc_curve.py	112	0	100%
skore/src/skore/_sklearn/train_test_split
__init__.py	2	0	100%
train_test_split.py	71	0	100%
skore/src/skore/_sklearn/train_test_split/warning
__init__.py	8	0	100%
high_class_imbalance_too_few_examples_warning.py	19	1	94%	83
high_class_imbalance_warning.py	20	0	100%
random_state_unset_warning.py	10	0	100%
shuffle_true_warning.py	9	0	100%
stratify_is_set_warning.py	10	0	100%
time_based_column_warning.py	21	0	100%
train_test_split_warning.py	3	0	100%
skore/src/skore/_utils
__init__.py	6	2	66%	8, 13
_accessor.py	118	4	96%	38, 212, 266, 286
_cache.py	37	0	100%
_cache_key.py	29	3	89%	35, 43, 52
_dataframe.py	37	1	97%	56
_environment.py	32	2	93%	41, 44
_fixes.py	8	0	100%
_index.py	5	0	100%
_jupyter.py	8	2	75%	13–14
_logger.py	22	4	81%	15–17, 19
_measure_time.py	10	0	100%
_parallel.py	17	0	100%
_patch.py	21	12	42%	30, 35–39, 42–43, 46–47, 58, 60
_progress_bar.py	41	4	90%	55–56, 66–67
_show_versions.py	38	0	100%
_testing.py	110	11	90%	21, 30, 158, 167, 178–183, 185
skore/src/skore/_utils/repr
__init__.py	2	0	100%
base.py	54	0	100%
data.py	164	0	100%
html_repr.py	38	0	100%
rich_repr.py	81	0	100%
TOTAL	4284	92	97%

Tests	Skipped	Failures	Errors	Time
2046	5 💤	0 ❌	0 🔥	8m 12s ⏱️