CODEWITHSUNDEEP
hyperparametersmlr3
Neha
Neha

Reputation: 3

Error: message "with parameters optimization using mlr3"

I am using parameters optimization (random search) with mlr3 but it gives me the following error. I tried with other models too (kknn) but the same error comes in.

Error: Resampling 'cv' may not be instantiated

///My code is here 

data = readARFF("xerces.arff")
index= sample(1:nrow(data), 0.7*nrow(data))
train= data[index,]
test= data[-index,]
task = TaskRegr$new("data", backend = train, target = "bug")

learner5=lrn("regr.randomForest")
resampling_cv = rsmp("cv", folds = 10L)
resampling_cv$instantiate(task)
measure= msr("regr.mae")

search_space = paradox::ParamSet$new(
 params = list(paradox::ParamInt$new("ntree", lower = 100, upper = 500)))

terminator = trm("evals", n_evals = 30)
tuner = tnr("random_search")

at = AutoTuner$new(
        learner = learner5,
        resampling = resampling_cv,
        measure = measure,
        search_space = search_space,
        terminator = terminator,
        tuner = tuner,  store_tuning_instance = TRUE,
        store_benchmark_result = TRUE,
        store_models = TRUE
)

Upvotes: 0

Views: 88

Answers (1)

be-marc
be-marc

Reputation: 1491

You instantiate the resampling with resampling_cv$instantiate(task). Remove this line and it should work.

Upvotes: 1

Related Questions