[THREAD] Additional tests to be developed

[VincentAuriau]

No description provided.

[VincentAuriau]

#131 : Add basic tests for Baseline Models
#133: Add some more tests for Baseline Models
#137: Add test for softmax with exit choice
#148: Add tests for Indexers and ChoiceDataset from DF
#149: Add Storage & ChoiceDataset tests
#160: ADD: tests for SimpleMNL and ChoiceModel
#161: ADD: Eager mode for tf.function
#167: ADD: allow for choice of nb of parallel iterations when using LBFGS
#168
#190

[github-actions]

Coverage Report for Python 3.9

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	48	0	100%
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	393	5	99%	43–44, 154–155, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	254	12	95%	144, 186, 283, 302, 342, 349, 378, 397, 428–429, 438–439
baseline_models.py	49	0	100%
conditional_logit.py	236	21	91%	46, 49, 51, 82, 85, 88–92, 95–99, 133, 298, 335, 392, 467–473, 598, 632, 739, 743
halo_mnl.py	124	18	85%	186, 341, 360, 364–380
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	236	236	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
TOTAL	4195	605	86%

Tests	Skipped	Failures	Errors	Time
142	0 💤	1 ❌	0 🔥	6m 13s ⏱️

[github-actions]

Coverage Report for Python 3.10

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	48	0	100%
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	393	4	99%	39, 154–155, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	254	12	95%	144, 186, 283, 302, 342, 349, 378, 397, 428–429, 438–439
baseline_models.py	49	0	100%
conditional_logit.py	236	21	91%	46, 49, 51, 82, 85, 88–92, 95–99, 133, 298, 335, 392, 467–473, 598, 632, 739, 743
halo_mnl.py	124	2	98%	186, 374
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
TOTAL	4197	590	86%

Tests	Skipped	Failures	Errors	Time
142	0 💤	0 ❌	0 🔥	6m 24s ⏱️

[github-actions]

Coverage Report for Python 3.11

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	48	0	100%
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	393	4	99%	39, 154–155, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	254	12	95%	144, 186, 283, 302, 342, 349, 378, 397, 428–429, 438–439
baseline_models.py	49	0	100%
conditional_logit.py	236	21	91%	46, 49, 51, 82, 85, 88–92, 95–99, 133, 298, 335, 392, 467–473, 598, 632, 739, 743
halo_mnl.py	124	2	98%	186, 374
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
TOTAL	4197	590	86%

Tests	Skipped	Failures	Errors	Time
142	0 💤	0 ❌	0 🔥	6m 29s ⏱️

[github-actions]

Coverage Report for Python 3.12

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	48	0	100%
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	393	4	99%	39, 154–155, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	254	12	95%	144, 186, 283, 302, 342, 349, 378, 397, 428–429, 438–439
baseline_models.py	49	0	100%
conditional_logit.py	236	21	91%	46, 49, 51, 82, 85, 88–92, 95–99, 133, 298, 335, 392, 467–473, 598, 632, 739, 743
halo_mnl.py	124	2	98%	186, 374
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
TOTAL	4197	590	86%

Tests	Skipped	Failures	Errors	Time
142	0 💤	0 ❌	0 🔥	7m 44s ⏱️