Fix EM algorithm to fit Latent Class model

[VincentAuriau]

No description provided.

[github-actions]

Coverage Report for Python 3.11

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	638	33	95%	108–112, 198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 942, 1127, 1146–1148, 1161–1163, 1191, 1196, 1205, 1222, 1263, 1275, 1289, 1328, 1343, 1348, 1377, 1390, 1425–1426
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
base.py	343	201	41%	37, 62–69, 91–97, 119, 186, 192–221, 226–295, 310–359, 374–406, 415–482, 567–579, 582–585, 588, 595–606, 610–623, 632–658, 666, 672, 739, 826, 871, 920, 1005
expedia.py	102	92	10%	27–300
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	243	106	56%	92, 97–98, 105–123, 135, 177, 213–241, 274, 292–333, 340, 369, 383, 388, 396–424, 429–430, 475–508, 518–526, 544–559, 625–626, 628–633, 681–683, 705–727, 782, 784–787
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–928
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	140	92	34%	75–81, 92–98, 139–177, 204, 238, 255–276, 301–325, 329–357
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
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	3799	2074	45%

Tests	Skipped	Failures	Errors	Time
73	0 💤	0 ❌	0 🔥	46.825s ⏱️

[github-actions]

Coverage Report for Python 3.10

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	638	33	95%	108–112, 198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 942, 1127, 1146–1148, 1161–1163, 1191, 1196, 1205, 1222, 1263, 1275, 1289, 1328, 1343, 1348, 1377, 1390, 1425–1426
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
base.py	343	201	41%	37, 62–69, 91–97, 119, 186, 192–221, 226–295, 310–359, 374–406, 415–482, 567–579, 582–585, 588, 595–606, 610–623, 632–658, 666, 672, 739, 826, 871, 920, 1005
expedia.py	102	92	10%	27–300
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	243	106	56%	92, 97–98, 105–123, 135, 177, 213–241, 274, 292–333, 340, 369, 383, 388, 396–424, 429–430, 475–508, 518–526, 544–559, 625–626, 628–633, 681–683, 705–727, 782, 784–787
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–928
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	140	92	34%	75–81, 92–98, 139–177, 204, 238, 255–276, 301–325, 329–357
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
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	3799	2074	45%

Tests	Skipped	Failures	Errors	Time
73	0 💤	0 ❌	0 🔥	46.511s ⏱️

[github-actions]

Coverage Report for Python 3.9

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	638	33	95%	108–112, 198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 942, 1127, 1146–1148, 1161–1163, 1191, 1196, 1205, 1222, 1263, 1275, 1289, 1328, 1343, 1348, 1377, 1390, 1425–1426
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
base.py	343	202	41%	39–40, 62–69, 91–97, 119, 186, 192–221, 226–295, 310–359, 374–406, 415–482, 567–579, 582–585, 588, 595–606, 610–623, 632–658, 666, 672, 739, 826, 871, 920, 1005
expedia.py	102	92	10%	27–300
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	243	106	56%	92, 97–98, 105–123, 135, 177, 213–241, 274, 292–333, 340, 369, 383, 388, 396–424, 429–430, 475–508, 518–526, 544–559, 625–626, 628–633, 681–683, 705–727, 782, 784–787
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–928
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	140	92	34%	75–81, 92–98, 139–177, 204, 238, 255–276, 301–325, 329–357
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
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	3797	2073	45%

Tests	Skipped	Failures	Errors	Time
73	0 💤	0 ❌	0 🔥	45.943s ⏱️

[github-actions]

Coverage Report for Python 3.12

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	638	33	95%	108–112, 198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 942, 1127, 1146–1148, 1161–1163, 1191, 1196, 1205, 1222, 1263, 1275, 1289, 1328, 1343, 1348, 1377, 1390, 1425–1426
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
base.py	343	201	41%	37, 62–69, 91–97, 119, 186, 192–221, 226–295, 310–359, 374–406, 415–482, 567–579, 582–585, 588, 595–606, 610–623, 632–658, 666, 672, 739, 826, 871, 920, 1005
expedia.py	102	92	10%	27–300
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	243	106	56%	92, 97–98, 105–123, 135, 177, 213–241, 274, 292–333, 340, 369, 383, 388, 396–424, 429–430, 475–508, 518–526, 544–559, 625–626, 628–633, 681–683, 705–727, 782, 784–787
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–928
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	140	92	34%	75–81, 92–98, 139–177, 204, 238, 255–276, 301–325, 329–357
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
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	3799	2074	45%

Tests	Skipped	Failures	Errors	Time
73	0 💤	0 ❌	0 🔥	1m 8s ⏱️