@@ -808,11 +808,11 @@ bmr$learners
808808head(as.data.table(bmr , measures = c(" classif.acc" , " classif.auc" )), 5 )
809809# > uhash task
810810# > <char> <list>
811- # > 1: 3680f188-d47b-40da-be7f-233a8c6e05d4 <TaskClassif:sonar>
812- # > 2: 3680f188-d47b-40da-be7f-233a8c6e05d4 <TaskClassif:sonar>
813- # > 3: 3680f188-d47b-40da-be7f-233a8c6e05d4 <TaskClassif:sonar>
814- # > 4: ce072148-29bf-48a0-b43f-997efb927b67 <TaskClassif:sonar>
815- # > 5: ce072148-29bf-48a0-b43f-997efb927b67 <TaskClassif:sonar>
811+ # > 1: 22f44ea2-c1ae-459e-b884-117692cc6acc <TaskClassif:sonar>
812+ # > 2: 22f44ea2-c1ae-459e-b884-117692cc6acc <TaskClassif:sonar>
813+ # > 3: 22f44ea2-c1ae-459e-b884-117692cc6acc <TaskClassif:sonar>
814+ # > 4: d69f03ed-80ae-4ec4-bcf3-8e5da7daae8d <TaskClassif:sonar>
815+ # > 5: d69f03ed-80ae-4ec4-bcf3-8e5da7daae8d <TaskClassif:sonar>
816816# > learner resampling iteration
817817# > <list> <list> <int>
818818# > 1: <LearnerClassifFeatureless:classif.featureless> <ResamplingCV> 1
@@ -1041,30 +1041,30 @@ bmr$set_threshold(0.8, learner_ids = "classif.featureless")
10411041# > Key: <uhash, iteration>
10421042# > uhash iteration learner_state prediction
10431043# > <char> <int> <list> <list>
1044- # > 1: 4b11fdb8-03be-41e8-a6d0-d61ab2407ec6 1 <learner_state[8 ]> <list[1]>
1045- # > 2: a48961cb-5e35-48b5-8303-9dbc9f50cfcc 1 <learner_state[9 ]> <list[1]>
1044+ # > 1: 32b4ac5f-332b-4487-b36d-4fcd0be44572 1 <learner_state[9 ]> <list[1]>
1045+ # > 2: 9b2d0852-fa1c-4b6a-a7ea-02bc11212fb5 1 <learner_state[8 ]> <list[1]>
10461046# > learner_hash task_hash learner_phash resampling_hash
10471047# > <char> <char> <char> <char>
1048- # > 1: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
1049- # > 2: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1048+ # > 1: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1049+ # > 2: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
10501050bmr $ set_threshold(0.3 , i = 2 )
10511051# > Key: <uhash, iteration>
10521052# > uhash iteration learner_state prediction
10531053# > <char> <int> <list> <list>
1054- # > 1: 4b11fdb8-03be-41e8-a6d0-d61ab2407ec6 1 <learner_state[8 ]> <list[1]>
1055- # > 2: a48961cb-5e35-48b5-8303-9dbc9f50cfcc 1 <learner_state[9 ]> <list[1]>
1054+ # > 1: 32b4ac5f-332b-4487-b36d-4fcd0be44572 1 <learner_state[9 ]> <list[1]>
1055+ # > 2: 9b2d0852-fa1c-4b6a-a7ea-02bc11212fb5 1 <learner_state[8 ]> <list[1]>
10561056# > learner_hash task_hash learner_phash resampling_hash
10571057# > <char> <char> <char> <char>
1058- # > 1: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
1059- # > 2: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1058+ # > 1: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1059+ # > 2: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
10601060bmr $ set_threshold(0.7 , uhashes = uhashes(bmr , learner_ids = " classif.featureless" ))
10611061# > Key: <uhash, iteration>
10621062# > uhash iteration learner_state prediction
10631063# > <char> <int> <list> <list>
1064- # > 1: 4b11fdb8-03be-41e8-a6d0-d61ab2407ec6 1 <learner_state[8 ]> <list[1]>
1065- # > 2: a48961cb-5e35-48b5-8303-9dbc9f50cfcc 1 <learner_state[9 ]> <list[1]>
1064+ # > 1: 32b4ac5f-332b-4487-b36d-4fcd0be44572 1 <learner_state[9 ]> <list[1]>
1065+ # > 2: 9b2d0852-fa1c-4b6a-a7ea-02bc11212fb5 1 <learner_state[8 ]> <list[1]>
10661066# > learner_hash task_hash learner_phash resampling_hash
10671067# > <char> <char> <char> <char>
1068- # > 1: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
1069- # > 2: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1068+ # > 1: c7c9e936a7ad47c2 f9791e97f9813150 02fee2b4eac6c687 35db3d2bb507d357
1069+ # > 2: 918bbfdfae9c988e f9791e97f9813150 53c7d4b30df61d77 35db3d2bb507d357
10701070```
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