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mlr.classif.xgboost

mlr.classif.xgboost

Visibility: public Uploaded 04-04-2019 by Florian Pfisterer R_3.5.3, OpenML_1.9, mlr_2.13.9000, xgboost_0.82.1 0 runs
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Learner mlr.classif.xgboost from package(s) xgboost.

Parameters

alpha
base_score
booster
callbacks
colsample_bylevel
colsample_bytree
early_stopping_rounds
eta
eval_metric
feval
gamma
lambda
lambda_bias
max_delta_step
max_depth
maximize
min_child_weight
missing
monotone_constraints
normalize_type
nrounds
nthread
num_parallel_tree
objective
openml.kinddefault: Mersenne-Twister
openml.normal.kinddefault: Inversion
openml.seeddefault: 1
print_every_n
rate_drop
sample_type
skip_drop
subsample
tweedie_variance_power
verbose
watchlist

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