我正在尝试解决mlr::mergeBenchmarkResults遇到的错误，即：
Error in mergeBenchmarkResults(bmrs = list(bmr, bmr_no_mos)): The following task - learner combination(s) occur either multiple times or are missing:
* wnv_no_mos - rpart
* wnv_no_mos - rf
* wnv - rf_no_mos
* wnv - xgb_no_mos
* wnv - extraTrees_no_mos
Traceback:
1. mergeBenchmarkResults(bmrs = list(bmr, bmr_no_mos))
2. stopf("The following task - learner combination(s) occur either multiple times or are missing: \n* %s\n",
. msg)
总而言之，我的愿望是...
我有两个任务，两个学习者集和两个基准对象。我希望使用mlr::mergeBenchmarkResults组合两个基准测试对象。</ p>
tsk = makeClassifTask(data = wnv, target = "y", positive = "Infected")
lrns = list(makeLearner(id = "rpart", cl = "classif.rpart", predict.type = "prob"),
makeLearner(id = "rf", cl = "classif.randomForest", predict.type = "prob"))
bmr = benchmark(learners = lrns, tasks = tsk, resamplings = rdesc, measures = meas, show.info = TRUE)
tsk_no_mos = makeClassifTask(data = wnv_no_mos, target = "y", positive = "Infected")
lrns_2 = list(makeLearner(id = "rf_no_mos", cl = "classif.randomForest", predict.type = "prob"),
makeLearner(id = "xgb_no_mos", cl = "classif.xgboost", predict.type = "prob", nthread=25),
makeLearner(id = "extraTrees_no_mos", cl = "classif.extraTrees", predict.type = "prob", numThreads = 25))
bmr_no_mos = benchmark(learners = lrns_2, tasks = tsk_no_mos, resamplings = rdesc, measures = meas, show.info = TRUE)
mergeBenchmarkResults(bmrs = list(bmr, bmr_no_mos))
我在做什么错了？