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Commit dca69284 authored by bay9355's avatar bay9355
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Merge branch 'main' of https://gitlab.rrz.uni-hamburg.de/bay2046/cami into main

parents 1e6c49f3 7751395a
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cami_src/cami_suite.py
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......@@ -296,46 +296,46 @@ class cami():
result_sets[tool] -= set(self.seed_lst)
camis = {
# 'cami_v1': {'function': cami_v1.run_cami, 'params': {'consens_threshold': consens_threshold}},
# 'cami_v2_param1_tr': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75
# }},
# 'cami_v2_param1_bc': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'betweenness'
# }},
# 'cami_v2_param1_m': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'must'
# }},
# 'cami_v2_param2_tr': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5
# }},
# 'cami_v2_param2_m': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'ranking': 'must',
# }},
# 'cami_v2_param2_bc': {'function': cami_v2.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'betweenness'
# }},
# 'cami_v3_param1_tr': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75
# }},
# 'cami_v3_param1_bc': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'betweenness'
# }},
'cami_v1': {'function': cami_v1.run_cami, 'params': {'consens_threshold': consens_threshold}},
'cami_v2_param1_tr': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75
}},
'cami_v2_param1_bc': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'betweenness'
}},
'cami_v2_param1_m': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'must'
}},
'cami_v2_param2_tr': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5
}},
'cami_v2_param2_m': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'ranking': 'must',
}},
'cami_v2_param2_bc': {'function': cami_v2.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'betweenness'
}},
'cami_v3_param1_tr': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75
}},
'cami_v3_param1_bc': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'betweenness'
}},
'cami_v3_param1_m': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0.8, 'damping_factor': 0.5, 'confidence_level': 0.75, 'ranking': 'must'
}},
# 'cami_v3_param2_tr': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'trustrank'
# }},
# 'cami_v3_param2_bc': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'betweenness'
# }},
# 'cami_v3_param2_m': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'must'
# }},
# 'cami_v3_param3_m': {'function': cami_v3.run_cami, 'params': {
# 'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'must', 'trees': 15
# }},
'cami_v3_param2_tr': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'trustrank'
}},
'cami_v3_param2_bc': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'betweenness'
}},
'cami_v3_param2_m': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'must'
}},
'cami_v3_param3_m': {'function': cami_v3.run_cami, 'params': {
'hub_penalty': 0, 'damping_factor': 0.7, 'confidence_level': 0.5, 'ranking': 'must', 'trees': 15
}},
}
# create integer codes for cami_versions (needed for predicted_by vertex property)
......
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