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DESCRIPTION
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DESCRIPTION
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Package: autoxgboost
Title: Automatic tuning and fitting of xgboost
Version: 0.0.0.9000
Authors@R: person("Janek", "Thomas", email = "[email protected]", role = c("aut", "cre"))
Description: Automatic tuning and fitting of 'xgboost'. Use early stopping
to determine the optimal number of iterations and Bayesian optimization (from
'mlrMBO') for all further parameters. Tunes class weights and thresholds in classification.
Categorical features are handled efficiently either by impact encoding or dummy encoding based on the number of factor levels.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Depends:
R (>= 3.0.2),
ParamHelpers (>= 1.10),
mlr (>= 2.12),
mlrMBO (>= 1.0.0),
mlrCPO
Imports:
BBmisc (>= 1.11),
checkmate (>= 1.8.2),
stringi,
DiceKriging,
xgboost (>= 0.6.4),
smoof
Suggests:
testthat,
rpart,
cmaes,
rgenoud,
FeatureHashing,
anytime,
lubridate
RoxygenNote: 6.0.1