feat(skore): Add data_source="all" option to EstimatorReport.metrics.summarize

[MatthieuLoustaunau]

Closes #1446

[github-actions]

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[MatthieuLoustaunau]

missing :

• Favorability appears twice with data_source="all"
• doc to update.

[MarieSacksick]

@MatthieuLoustaunau, do you want to finish this PR, or should we take it from here?

[MatthieuLoustaunau]

I plan to come back at this during the next week, as I will have some spare time. If I cannot finish within 2 weeks I let you take over.

[MarieSacksick]

Some doctests are failing, could you have a look at why please? It looks like it comes from the new docstring.
Also, could you keep only one summarize function please, and extend the public one (summarize), instead of creating a new private (_summarize) one? Thanks!

[MatthieuLoustaunau]

@MarieSacksick I have removed the _summarize method, hopefully avoiding confusion with summarize.

[github-actions]

Documentation preview @ 3bd557e

[MarieSacksick]

There is a doctest that does not pass, could you fix it please? You can run it locally by doing: cd skore && pytest.
And also, could you add a test please? (in the folder /skore/skore/tests/unit/displays/metrics_summary/test_estimator.py)

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Cover	Missing
skore/src/skore
__init__.py	24	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	35	2	94%	93, 117
metrics_accessor.py	179	3	98%	167, 247, 1209
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%	134, 137, 140
feature_importance_accessor.py	24	0	100%
metrics_accessor.py	183	1	99%	242
report.py	135	1	99%	488
skore/src/skore/_sklearn/_estimator
__init__.py	9	0	100%
data_accessor.py	66	1	98%	82
feature_importance_accessor.py	168	2	98%	258–259
metrics_accessor.py	360	5	98%	330, 399, 403, 418, 453
report.py	165	2	98%	448–449
skore/src/skore/_sklearn/_plot
__init__.py	3	0	100%
base.py	98	6	93%	61–62, 224–226, 230
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_coefficients_display.py	71	21	70%	116–119, 121, 140, 146–152, 155, 161–165, 170–171
metrics_summary_display.py	8	0	100%
precision_recall_curve.py	281	5	98%	455, 555, 559, 619, 751
prediction_error.py	227	5	97%	179, 186, 422, 505, 705
roc_curve.py	294	8	97%	387, 510, 515, 616, 621, 625, 694, 834
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	1	96%	40
_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	21	12	42%	30, 35–39, 42–43, 46–47, 58, 60
_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	75	1	98%	120
widget.py	187	0	100%
TOTAL	4063	116	97%

Tests	Skipped	Failures	Errors	Time
1105	5 💤	0 ❌	0 🔥	4m 22s ⏱️

[MarieSacksick]

Good for me, thanks @MatthieuLoustaunau and @auguste-probabl!