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Lines 127 to 129 in 391057d
This comes up for learner xgboost
in mlr and is quite annoying in the tests.
Has this fact ever triggered a serious problem? I don't think that the warning printed to the user is very helpful. It is tailored to devs and might confuse the user (the user can't do anything about it anyways). Especially because it comes up for learner xgboost (learner param "missing" has NA
as default) it is somewhat important to get rid of it quickly.
makeLearner('classif.xgboost')
Warning in makeParam(id = id, type = "numeric", learner.param = TRUE, lower = lower, :
NA used as a default value for learner parameter missing.
ParamHelpers uses NA as a special value for dependent parameters.
Learner classif.xgboost from package xgboost
Type: classif
Name: eXtreme Gradient Boosting; Short name: xgboost
Class: classif.xgboost
Properties: twoclass,multiclass,numerics,prob,weights,missings,featimp
Predict-Type: response
Hyperparameters: nrounds=1,verbose=0
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