fix(skore): Document plot via explicit implementation

[glemaitre]

Partially fixing #1996

This PR implement a specialized plot method for each display. It allows to get the proper documentation that was broken when using a mixin that overwrite it.

This approach is simpler than trying to overwrite the name function, signature, and documentation of the dispatch plotting function. It should be easier to maintain.

While implementing this PR, I also fix the following:

• group all the mixin in base.py and create a DisplayMixin since all specialized displays will inherit from all those mixins.
• I fixed slightly the ConfusionMatrixDisplay but it will need more work.
• I also quickly fixed the FeatureImportanceDisplay but it also need some more work.

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Cover	Missing
skore/src/skore
__init__.py	23	0	100%
_config.py	31	0	100%
exceptions.py	4	4	0%	4, 15, 19, 23
skore/src/skore/_sklearn
__init__.py	6	0	100%
_base.py	198	14	92%	45, 58, 127, 130, 183, 186–187, 189–192, 225, 228–229
find_ml_task.py	61	0	100%
types.py	27	1	96%	28
skore/src/skore/_sklearn/_comparison
__init__.py	7	0	100%
feature_importance_accessor.py	39	2	94%	90, 109
metrics_accessor.py	178	3	98%	173, 253, 1215
report.py	107	0	100%
utils.py	54	0	100%
skore/src/skore/_sklearn/_cross_validation
__init__.py	9	0	100%
data_accessor.py	45	3	93%	128, 131, 134
feature_importance_accessor.py	24	0	100%
metrics_accessor.py	182	1	99%	244
report.py	135	1	99%	487
skore/src/skore/_sklearn/_estimator
__init__.py	9	0	100%
data_accessor.py	58	0	100%
feature_importance_accessor.py	144	2	98%	223–224
metrics_accessor.py	356	8	97%	200, 202, 209, 300, 369, 373, 388, 423
report.py	167	2	98%	448–449
skore/src/skore/_sklearn/_plot
__init__.py	3	0	100%
base.py	102	7	93%	61–62, 201, 225–227, 231
utils.py	77	0	100%
skore/src/skore/_sklearn/_plot/data
__init__.py	2	0	100%
table_report.py	185	1	99%	706
skore/src/skore/_sklearn/_plot/metrics
__init__.py	6	0	100%
confusion_matrix.py	70	4	94%	92, 100, 122, 230
feature_importance_display.py	67	21	68%	88, 121–122, 124, 142–146, 148–155, 158–160, 162
metrics_summary_display.py	8	0	100%
precision_recall_curve.py	280	5	98%	455, 555, 559, 619, 751
prediction_error.py	227	5	97%	179, 186, 422, 505, 705
roc_curve.py	292	8	97%	385, 508, 513, 614, 619, 623, 692, 832
skore/src/skore/_sklearn/train_test_split
__init__.py	0	0	100%
train_test_split.py	58	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	90	3	96%	34, 146, 190
_environment.py	27	0	100%
_fixes.py	8	0	100%
_index.py	5	0	100%
_logger.py	22	4	81%	15–17, 19
_measure_time.py	10	0	100%
_parallel.py	38	3	92%	23, 33, 124
_patch.py	13	5	61%	21, 23–24, 35, 37
_progress_bar.py	46	0	100%
_repr_html.py	8	0	100%
_show_versions.py	38	0	100%
_testing.py	55	0	100%
skore/src/skore/project
__init__.py	2	0	100%
project.py	48	0	100%
summary.py	74	0	100%
widget.py	165	6	96%	436, 439–441, 525–526
TOTAL	3996	116	97%

Tests	Skipped	Failures	Errors	Time
1060	5 💤	0 ❌	0 🔥	4m 21s ⏱️

[github-actions]

Documentation preview @ 60306dc

[auguste-probabl]

does it apply tight layout?

[auguste-probabl]

I can confirm that this solves the issue, using the reproducer given here

[auguste-probabl]

Looks good, awesome!