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mlr.classif.xgboost

mlr.classif.xgboost

Visibility: public Uploaded 28-06-2016 by Rafael G. Mantovani R_3.2.5, OpenML_1.0, mlr_2.9, xgboost_0.4.3 0 runs
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Learner mlr.classif.xgboost from package(s) xgboost.

Parameters

alpha
base_score
booster
colsample_bytree
early.stop.round
eta
eval_metric
feval
gamma
lambda
lambda_bias
max_depth
maximize
min_child_weight
missing
nrounds
nthread
num_parallel_tree
objective
openml.kinddefault: Mersenne-Twister
openml.normal.kinddefault: Inversion
openml.seeddefault: 1
print.every.n
silent
subsample
verbose

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