[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

[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	389	214	45%	40–41, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 609–621, 624–627, 630, 637–648, 652–665, 674–700, 708, 714, 781, 868, 913, 962, 1047, 1132
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	13	2	85%	14–15
base_model.py	249	12	95%	143, 185, 282, 301, 341, 348, 377, 396, 427–428, 437–438
baseline_models.py	49	0	100%
conditional_logit.py	235	22	91%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 297, 334, 391, 466–472, 545–546, 597, 736, 740
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	11	92%	28, 30, 32, 34, 36, 285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	751–754, 985
simple_mnl.py	138	7	95%	154, 166, 272, 344, 352, 354, 356
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	236	236	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3980	1394	65%

Tests	Skipped	Failures	Errors	Time
109	0 💤	0 ❌	0 🔥	5m 9s ⏱️

[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	389	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 609–621, 624–627, 630, 637–648, 652–665, 674–700, 708, 714, 781, 868, 913, 962, 1047, 1132
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	13	2	85%	14–15
base_model.py	249	12	95%	143, 185, 282, 301, 341, 348, 377, 396, 427–428, 437–438
baseline_models.py	49	0	100%
conditional_logit.py	235	22	91%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 297, 334, 391, 466–472, 545–546, 597, 736, 740
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	11	92%	28, 30, 32, 34, 36, 285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	751–754, 985
simple_mnl.py	138	7	95%	154, 166, 272, 344, 352, 354, 356
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3982	1395	65%

Tests	Skipped	Failures	Errors	Time
109	0 💤	0 ❌	0 🔥	5m 13s ⏱️

[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	389	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 609–621, 624–627, 630, 637–648, 652–665, 674–700, 708, 714, 781, 868, 913, 962, 1047, 1132
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	13	2	85%	14–15
base_model.py	249	12	95%	143, 185, 282, 301, 341, 348, 377, 396, 427–428, 437–438
baseline_models.py	49	0	100%
conditional_logit.py	235	22	91%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 297, 334, 391, 466–472, 545–546, 597, 736, 740
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	11	92%	28, 30, 32, 34, 36, 285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	751–754, 985
simple_mnl.py	138	7	95%	154, 166, 272, 344, 352, 354, 356
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3982	1395	65%

Tests	Skipped	Failures	Errors	Time
109	0 💤	0 ❌	0 🔥	5m 16s ⏱️

[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	389	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 609–621, 624–627, 630, 637–648, 652–665, 674–700, 708, 714, 781, 868, 913, 962, 1047, 1132
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	13	2	85%	14–15
base_model.py	249	12	95%	143, 185, 282, 301, 341, 348, 377, 396, 427–428, 437–438
baseline_models.py	49	0	100%
conditional_logit.py	235	22	91%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 297, 334, 391, 466–472, 545–546, 597, 736, 740
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	11	92%	28, 30, 32, 34, 36, 285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	751–754, 985
simple_mnl.py	138	7	95%	154, 166, 272, 344, 352, 354, 356
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3982	1395	65%

Tests	Skipped	Failures	Errors	Time
109	0 💤	0 ❌	0 🔥	7m 10s ⏱️