r-mlr使用命名的ParamSets生成ModelMultiplexerParamSet

Question

makeModelMultiplexerParamSet的文档名为ParamSets的mlr R包状态可以提供，以消除哪些参数流向哪个学习者的歧义，但文档中没有包含如何做到这一点的示例。我已经尝试了一些事情(比如下面显示的(，但我可以让makeModelMultiplexerParamSet工作。如有任何帮助，我们将不胜感激。

base.learners = list(
makeLearner("classif.ksvm",  predict.type = 'prob'),
makeLearner("classif.randomForest",  predict.type = 'prob', ntree=500L),
makeLearner('classif.xgboost', predict.type = 'prob', nthread=2, nrounds=1000L)
)
lrn = makeModelMultiplexer(base.learners)
# learners
ps = list(
classif.randomForest = makeParamSet(makeIntegerParam("mtry", lower=1L, upper=100L)),
classif.ksvm = makeParamSet(makeNumericParam("C", lower = 0.01, upper = 0.1),
makeNumericParam("sigma", lower = 0.005, upper = 0.5, trafo = function(x) 2^x)),            
classif.xgboost = makeParamSet(makeIntegerParam("max_depth", lower=1L, upper=100L),
makeNumericParam("eta", lower=0.05, upper=0.5),
makeNumericParam("gamma", lower=0, upper=1))
)
ps = makeModelMultiplexerParamSet(lrn, ps)

错误：

Error in FUN(X[[i]], ...): List args has element of wrong type list at position 1. Should be: ParamSet
Traceback:
1. makeModelMultiplexerParamSet(lrn, ps)
2. checkListElementClass(args, "ParamSet")
3. lapply(seq_along(xs), function(i) {
.     x = xs[[i]]
.     if (!(is(x, cl))) 
.         stop("List ", s, " has element of wrong type ", class(x)[1L], 
.             " at position ", i, ". Should be: ", cl)
. })
4. FUN(X[[i]], ...)
5. stop("List ", s, " has element of wrong type ", class(x)[1L], 
.     " at position ", i, ". Should be: ", cl)

Answer 1

这种方法解决了问题：https://www.rdocumentation.org/packages/mlr/versions/2.17.1/topics/makeModelMultiplexer

使用makeModelMultiplexerParamSet((包装makeParams；例如ps = makeModelMultiplexerParamSet(lrn, classif.ksvm = makeParamSet( makeNumericParam("sigma", lower = -10, upper = 10, trafo = function(x) 2^x) ), classif.randomForest = makeParamSet( makeIntegerParam("ntree", lower = 1L, upper = 500L) ) )