SL_train_reg_xgb: Super Learner Training - xgboost
In woobe/predictr: My favourite routines for developing and evaluating predictive models in R
Description
Usage
Arguments
Examples
Description
This function splits data into training/tuning/holdation
Usage
1
Arguments
x
predictors
ratio
split ratio i.e. train:tune:hold = 80:10:10
Examples
1
a <- SL_train_reg_xgb(x, y)
woobe/predictr documentation built on May 4, 2019, 9:47 a.m.
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Description Usage Arguments Examples
Description
This function splits data into training/tuning/holdation
Usage
1 |
Arguments
x |
predictors |
ratio |
split ratio i.e. train:tune:hold = 80:10:10 |
Examples
1 | a <- SL_train_reg_xgb(x, y)
|
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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