feat(checks): Filter parameters at space edge in search edge check

[GaetandeCast]

So that we don't raise an issue when e.g. the found best parameter is 0 for a parameter that takes values in [0, inf).

Uses scikit-learn's _parameter_constraints to check if the best parameter is at the parameter space edge.

[github-actions]

Documentation preview @ 15367bb

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Branch	BrPart	Cover	Missing
skore/src/skore
__init__.py	41	2	2	0	95%	118–119
_config.py	58	3	12	1	94%	70, 117–118
exceptions.py	4	4	0	0	0%	4, 15, 19, 23
skore/src/skore/_plugins
__init__.py	12	0	0	0	100%
serde.py	32	0	8	0	100%
skore/src/skore/_plugins/hub
__init__.py	9	2	0	0	77%	15, 20
exception.py	2	0	0	0	100%
json.py	10	1	2	1	90%	16
metric.py	13	0	0	0	100%
skore/src/skore/_plugins/hub/artifact
__init__.py	0	0	0	0	100%
artifact.py	23	0	4	0	100%
serializer.py	27	0	2	0	100%
upload.py	26	0	4	0	100%
skore/src/skore/_plugins/hub/artifact/media
__init__.py	5	0	0	0	100%
data.py	23	0	0	0	100%
inspection.py	72	10	20	8	86%	46–49, 51, 53, 60, 62, 68, 107
media.py	12	0	0	0	100%
model.py	10	0	0	0	100%
performance.py	57	0	0	0	100%
skore/src/skore/_plugins/hub/artifact/pickle
__init__.py	2	0	0	0	100%
pickle.py	24	0	2	0	100%
skore/src/skore/_plugins/hub/authentication
__init__.py	0	0	0	0	100%
apikey.py	7	0	0	0	100%
login.py	28	4	4	2	85%	37, 42–43, 52
token.py	80	0	8	0	100%
uri.py	6	0	0	0	100%
skore/src/skore/_plugins/hub/client
__init__.py	0	0	0	0	100%
client.py	88	10	18	3	88%	140, 187–189, 191–192, 194, 196, 198, 230
skore/src/skore/_plugins/hub/project
__init__.py	0	0	0	0	100%
project.py	138	6	26	5	95%	89, 114, 129, 328, 413, 443
skore/src/skore/_plugins/hub/report
__init__.py	3	0	0	0	100%
cross_validation_report.py	168	1	36	2	99%	176
estimator_report.py	16	0	0	0	100%
report.py	52	0	4	0	100%
skore/src/skore/_plugins/local
__init__.py	2	0	0	0	100%
metadata.py	86	3	8	1	96%	29, 153–154
project.py	93	1	30	1	98%	243
storage.py	42	2	6	1	95%	45, 189
skore/src/skore/_plugins/mlflow
__init__.py	5	0	0	0	100%
project.py	264	26	62	9	90%	47, 49–51, 122–126, 231, 249, 267–268, 373, 481, 483, 499, 501–506, 508–510
reports.py	159	6	34	4	96%	129, 174, 211–212, 274, 287
skore/src/skore/_project
__init__.py	0	0	0	0	100%
_summary.py	117	2	48	3	98%	83, 97
dependencies.py	19	0	6	0	100%
git.py	25	0	4	0	100%
login.py	17	3	6	2	82%	57, 66–67
plugin.py	9	0	0	0	100%
project.py	60	2	18	4	96%	138, 147
types.py	3	0	0	0	100%
skore/src/skore/_sklearn
__init__.py	8	0	0	0	100%
_base.py	55	2	10	0	96%	48, 165
compare.py	5	0	0	0	100%
evaluate.py	45	0	26	0	100%
feature_names.py	26	0	12	0	100%
find_ml_task.py	61	0	46	2	100%
metrics.py	375	0	90	1	100%
train_test_split.py	17	0	0	0	100%
types.py	19	1	0	0	94%	31
skore/src/skore/_sklearn/_checks
__init__.py	3	0	0	0	100%
_utils.py	92	9	34	3	90%	90, 192, 197–198, 232, 234–235, 243–244
accessor.py	37	0	16	0	100%
base.py	80	5	26	3	93%	156–157, 195, 291–292
model_checks.py	436	13	136	10	97%	75, 444, 448, 528, 554, 611–612, 666–667, 775, 794, 807, 884
tunable_hyperparameters.py	5	0	0	0	100%
skore/src/skore/_sklearn/_comparison
__init__.py	9	0	0	0	100%
inspection_accessor.py	25	0	2	0	100%
metrics_accessor.py	135	4	20	4	97%	272–273, 396, 1261
report.py	166	5	68	1	96%	512, 585, 667–669
skore/src/skore/_sklearn/_cross_validation
__init__.py	11	0	0	0	100%
data_accessor.py	40	2	14	2	95%	49, 75
inspection_accessor.py	25	0	2	0	100%
metrics_accessor.py	123	3	16	3	97%	215–216, 1214
report.py	222	8	50	5	96%	76, 81, 86, 342, 682, 834–836
skore/src/skore/_sklearn/_estimator
__init__.py	11	0	0	0	100%
data_accessor.py	61	1	28	1	98%	65
inspection_accessor.py	42	1	8	2	97%	297
metrics_accessor.py	136	0	24	0	100%
report.py	325	10	84	7	96%	68, 84, 312, 384, 468, 721, 806, 907–909
skore/src/skore/_sklearn/_plot
__init__.py	3	0	0	0	100%
base.py	72	2	14	1	97%	71–72
utils.py	160	3	76	4	98%	254–255, 454
skore/src/skore/_sklearn/_plot/data
__init__.py	2	0	0	0	100%
table_report.py	187	1	60	2	99%	718
skore/src/skore/_sklearn/_plot/inspection
__init__.py	0	0	0	0	100%
calibration_curve.py	82	11	14	8	86%	120–123, 125, 130–131, 234, 237–238, 268
coefficients.py	181	0	88	1	100%
impurity_decrease.py	103	2	34	3	98%	441, 485
permutation_importance.py	198	1	90	1	99%	650
utils.py	32	0	10	0	100%
skore/src/skore/_sklearn/_plot/metrics
__init__.py	6	0	0	0	100%
confusion_matrix.py	200	0	66	2	100%
metrics_summary_display.py	175	1	74	2	99%	315
precision_recall_curve.py	118	0	32	1	100%
prediction_error.py	166	0	54	2	100%
roc_curve.py	122	0	34	2	100%
skore/src/skore/_utils
__init__.py	6	2	0	0	66%	8, 13
_accessor.py	106	20	30	11	81%	13, 36, 61–65, 68, 70–71, 76, 81, 83, 85, 92–94, 164, 216, 236
_cache.py	37	0	2	1	100%
_cache_key.py	35	5	22	5	85%	22, 24, 51, 59, 68
_callable.py	19	0	8	0	100%
_dataframe.py	55	1	22	1	98%	84
_environment.py	33	1	10	2	96%	49
_fixes.py	8	0	2	0	100%
_index.py	5	0	2	0	100%
_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	42	4	4	0	90%	53–54, 64–65
_show_versions.py	66	1	22	1	98%	26
_skrub.py	37	0	4	0	100%
_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	128	0	30	1	100%
html_repr.py	40	0	0	0	100%
markdown.py	58	0	22	0	100%
rich_repr.py	80	0	22	3	100%
utils.py	20	0	2	0	100%
TOTAL	7358	233	1960	155	96%

Tests	Skipped	Failures	Errors	Time
2645	3 💤	0 ❌	0 🔥	8m 39s ⏱️

[auguste-probabl]

Looking good, just a few comments

[auguste-probabl]

Looks great