feat(skore): Better grouping in the help menu of the metrics accessor

[glemaitre]

closes #2746

This PR improves the help of the metrics accessor by grouping the registry management methods, the metrics to be called, and the displays in to sub groups.

For the moment, we are hard coding them but if the metrics are dynamically generated, we could easily leverage the registry to populate the the registry methods and the metrics.

My initial thought is to have the following design:

[github-actions]

Documentation preview @ 1f4ab30

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Branch	BrPart	Cover	Missing
skore/src/skore
__init__.py	31	0	2	0	100%
_config.py	58	3	12	1	94%	71, 118–119
exceptions.py	4	4	0	0	0%	4, 15, 19, 23
skore/src/skore/_project
__init__.py	0	0	0	0	100%
_summary.py	80	1	38	3	98%	121
_widget.py	191	0	44	2	100%
login.py	13	2	4	1	84%	65–66
plugin.py	12	0	2	0	100%
project.py	54	2	16	3	96%	131, 140
types.py	3	0	0	0	100%
skore/src/skore/_sklearn
__init__.py	8	0	0	0	100%
_base.py	70	1	20	0	98%	44
compare.py	5	0	0	0	100%
evaluate.py	44	0	24	0	100%
feature_names.py	26	0	12	0	100%
find_ml_task.py	61	0	46	2	100%
metrics.py	310	0	70	1	100%
types.py	16	1	0	0	93%	29
skore/src/skore/_sklearn/_comparison
__init__.py	7	0	0	0	100%
inspection_accessor.py	27	1	2	0	96%	347
metrics_accessor.py	123	4	18	4	96%	272–273, 341, 1127
report.py	142	7	52	0	95%	464, 501, 504, 510, 567–569
skore/src/skore/_sklearn/_cross_validation
__init__.py	9	0	0	0	100%
data_accessor.py	36	2	12	2	94%	48, 74
inspection_accessor.py	27	1	2	0	96%	319
metrics_accessor.py	117	3	16	3	97%	224–225, 1086
report.py	201	13	48	7	93%	69, 74, 79, 301, 515, 573, 595, 614, 617, 623, 706–708
skore/src/skore/_sklearn/_diagnostic
__init__.py	3	0	0	0	100%
base.py	76	5	24	3	93%	124–125, 165, 253–254
model_checks.py	116	1	26	1	99%	172
utils.py	23	1	6	1	95%	39
skore/src/skore/_sklearn/_estimator
__init__.py	9	0	0	0	100%
data_accessor.py	48	2	20	1	95%	61, 177
inspection_accessor.py	37	1	8	2	97%	278
metrics_accessor.py	127	0	22	0	100%
report.py	331	15	94	10	95%	49, 63, 249, 322, 406, 655, 744, 747, 766, 768, 774–775, 859–861
skore/src/skore/_sklearn/_plot
__init__.py	3	0	0	0	100%
base.py	61	2	14	1	96%	61–62
utils.py	147	3	66	3	97%	254–255, 434
skore/src/skore/_sklearn/_plot/data
__init__.py	2	0	0	0	100%
table_report.py	177	1	60	1	99%	670
skore/src/skore/_sklearn/_plot/inspection
__init__.py	0	0	0	0	100%
coefficients.py	181	0	88	1	100%
impurity_decrease.py	103	2	34	3	98%	423, 467
permutation_importance.py	198	1	90	1	99%	585
utils.py	32	0	10	0	100%
skore/src/skore/_sklearn/_plot/metrics
__init__.py	6	0	0	0	100%
confusion_matrix.py	185	0	68	2	100%
metrics_summary_display.py	133	0	62	1	100%
precision_recall_curve.py	113	0	32	1	100%
prediction_error.py	166	0	54	2	100%
roc_curve.py	119	0	34	2	100%
skore/src/skore/_sklearn/train_test_split
__init__.py	2	0	0	0	100%
train_test_split.py	71	0	34	2	100%
skore/src/skore/_sklearn/train_test_split/warning
__init__.py	8	0	0	0	100%
high_class_imbalance_too_few_examples_warning.py	19	1	6	1	94%	83
high_class_imbalance_warning.py	20	0	6	0	100%
random_state_unset_warning.py	10	0	2	0	100%
shuffle_true_warning.py	9	0	2	0	100%
stratify_is_set_warning.py	10	0	2	0	100%
time_based_column_warning.py	21	0	4	0	100%
train_test_split_warning.py	3	0	0	0	100%
skore/src/skore/_utils
__init__.py	6	2	0	0	66%	8, 13
_accessor.py	106	28	30	13	73%	12–13, 15, 36, 61–65, 68, 70–71, 76, 81, 83, 85, 92–94, 120–121, 123–124, 126, 132, 164, 218, 238
_cache.py	37	0	2	1	100%
_cache_key.py	35	5	22	5	85%	22, 24, 51, 59, 68
_callable_name.py	9	0	4	0	100%
_dataframe.py	43	4	18	4	90%	27, 46, 48, 63
_environment.py	32	1	10	2	96%	44
_fixes.py	8	0	2	0	100%
_index.py	5	0	2	0	100%
_jupyter.py	8	2	0	0	75%	13–14
_logger.py	22	4	4	0	81%	15–17, 19
_measure_time.py	10	0	0	0	100%
_parallel.py	17	0	0	0	100%
_patch.py	21	12	8	8	42%	30, 35–39, 42–43, 46–47, 58, 60
_progress_bar.py	41	4	4	0	90%	55–56, 66–67
_show_versions.py	38	0	12	0	100%
_skrub.py	40	1	8	1	97%	77
_testing.py	128	14	12	2	89%	24, 33, 71–72, 94, 193, 202, 213–218, 220
skore/src/skore/_utils/repr
__init__.py	2	0	0	0	100%
base.py	54	0	4	0	100%
data.py	147	0	38	4	100%
html_repr.py	40	0	0	0	100%
rich_repr.py	94	0	34	4	100%
TOTAL	5187	157	1522	112	96%

Tests	Skipped	Failures	Errors	Time
2157	5 💤	0 ❌	0 🔥	5m 17s ⏱️

[GaetandeCast]

we could easily leverage the registry to populate the the registry methods and the metrics.

Then we can show the added custom metrics in the help tree which would be really cool imo

[auguste-probabl]

How does this close #2746?

[glemaitre]

Because we are not going to remove the individual metrics but instead try to improve the documentation as an alternative.