@@ -811,11 +811,11 @@ bmr$learners
811811head(as.data.table(bmr , measures = c(" classif.acc" , " classif.auc" )), 5 )
812812# > uhash task
813813# > <char> <list>
814- # > 1: 50606b60-1773-42dd-a12a-5780ac30f7f3 <TaskClassif:sonar>
815- # > 2: 50606b60-1773-42dd-a12a-5780ac30f7f3 <TaskClassif:sonar>
816- # > 3: 50606b60-1773-42dd-a12a-5780ac30f7f3 <TaskClassif:sonar>
817- # > 4: 6b023c02-0155-4eae-9ee1-3881bc7ae4db <TaskClassif:sonar>
818- # > 5: 6b023c02-0155-4eae-9ee1-3881bc7ae4db <TaskClassif:sonar>
814+ # > 1: be3562bc-812c-4e09-b666-7fd1b844a9a9 <TaskClassif:sonar>
815+ # > 2: be3562bc-812c-4e09-b666-7fd1b844a9a9 <TaskClassif:sonar>
816+ # > 3: be3562bc-812c-4e09-b666-7fd1b844a9a9 <TaskClassif:sonar>
817+ # > 4: e77cb389-7d1e-46e4-8d41-64bcf2f4798d <TaskClassif:sonar>
818+ # > 5: e77cb389-7d1e-46e4-8d41-64bcf2f4798d <TaskClassif:sonar>
819819# > learner resampling iteration
820820# > <list> <list> <int>
821821# > 1: <LearnerClassifFeatureless:classif.featureless> <ResamplingCV> 1
@@ -1044,30 +1044,30 @@ bmr$set_threshold(0.8, learner_ids = "classif.featureless")
10441044# > Key: <uhash, iteration>
10451045# > uhash iteration learner_state prediction
10461046# > <char> <int> <list> <list>
1047- # > 1: 0d6c3419-d933-47b7-a7b8-8d4d08494553 1 <learner_state[9 ]> <list[1]>
1048- # > 2: 8063512a-1745-4020-9d57-f0213252809b 1 <learner_state[8 ]> <list[1]>
1047+ # > 1: 983a890f-4edb-4842-8cf8-70e8840b17fa 1 <learner_state[8 ]> <list[1]>
1048+ # > 2: d8d60217-8ade-491c-97f3-0c56f7941202 1 <learner_state[9 ]> <list[1]>
10491049# > learner_hash task_hash learner_phash resampling_hash
10501050# > <char> <char> <char> <char>
1051- # > 1: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
1052- # > 2: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1051+ # > 1: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1052+ # > 2: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
10531053bmr $ set_threshold(0.3 , i = 2 )
10541054# > Key: <uhash, iteration>
10551055# > uhash iteration learner_state prediction
10561056# > <char> <int> <list> <list>
1057- # > 1: 0d6c3419-d933-47b7-a7b8-8d4d08494553 1 <learner_state[9 ]> <list[1]>
1058- # > 2: 8063512a-1745-4020-9d57-f0213252809b 1 <learner_state[8 ]> <list[1]>
1057+ # > 1: 983a890f-4edb-4842-8cf8-70e8840b17fa 1 <learner_state[8 ]> <list[1]>
1058+ # > 2: d8d60217-8ade-491c-97f3-0c56f7941202 1 <learner_state[9 ]> <list[1]>
10591059# > learner_hash task_hash learner_phash resampling_hash
10601060# > <char> <char> <char> <char>
1061- # > 1: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
1062- # > 2: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1061+ # > 1: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1062+ # > 2: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
10631063bmr $ set_threshold(0.7 , uhashes = uhashes(bmr , learner_ids = " classif.featureless" ))
10641064# > Key: <uhash, iteration>
10651065# > uhash iteration learner_state prediction
10661066# > <char> <int> <list> <list>
1067- # > 1: 0d6c3419-d933-47b7-a7b8-8d4d08494553 1 <learner_state[9 ]> <list[1]>
1068- # > 2: 8063512a-1745-4020-9d57-f0213252809b 1 <learner_state[8 ]> <list[1]>
1067+ # > 1: 983a890f-4edb-4842-8cf8-70e8840b17fa 1 <learner_state[8 ]> <list[1]>
1068+ # > 2: d8d60217-8ade-491c-97f3-0c56f7941202 1 <learner_state[9 ]> <list[1]>
10691069# > learner_hash task_hash learner_phash resampling_hash
10701070# > <char> <char> <char> <char>
1071- # > 1: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
1072- # > 2: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1071+ # > 1: c1c047f0c08761bb 062d5c9e3bac138b abe51fbaa6bac53b 35db3d2bb507d357
1072+ # > 2: 0c19314a9481c0b7 062d5c9e3bac138b 4986460904b3902d 35db3d2bb507d357
10731073```
0 commit comments