grur_boost_imputer: grur_boost_imputer
In thierrygosselin/grur: Imputations of RADseq data
Description
imputations using eXtreme Gradient Boosting Tree
Usage
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grur_boost_imputer(
boost.split = NULL,
markers.df = NULL,
data.xgb = NULL,
gl.wide = NULL,
eta = 0.2,
gamma = 0,
max_depth = 6,
min_child_weight = 1,
subsample = 0.8,
colsample_bytree = 1,
num_parallel_tree = 1,
cpu.boost = 1,
nrounds = 200,
early_stopping_rounds = 20,
save_name = "imputation.model.temp"
)
thierrygosselin/grur documentation built on Oct. 28, 2020, 5:48 p.m.
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Description
imputations using eXtreme Gradient Boosting Tree
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | grur_boost_imputer(
boost.split = NULL,
markers.df = NULL,
data.xgb = NULL,
gl.wide = NULL,
eta = 0.2,
gamma = 0,
max_depth = 6,
min_child_weight = 1,
subsample = 0.8,
colsample_bytree = 1,
num_parallel_tree = 1,
cpu.boost = 1,
nrounds = 200,
early_stopping_rounds = 20,
save_name = "imputation.model.temp"
)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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