doXGB.train: XGBoost Model Training
In DescartesResearch/telescope: Hybrid Multi-Step-Ahead Forecasting
Description
Usage
Arguments
Value
Author(s)
Description
Trains XGBoost regarding the time series and its covariates
Usage
1
doXGB.train(myts, cov, booster, verbose)
Arguments
myts
The training part of the time series
cov
The covariates for the training
booster
Select a boosting method: gblinear or gbtree
verbose
Set to 1 to print information of xgboost performance; 0 for no prints
Value
model The XGBoost model
Author(s)
Marwin Zuefle, Andre Bauer
DescartesResearch/telescope documentation built on Oct. 23, 2021, 9:51 a.m.
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Description Usage Arguments Value Author(s)
Description
Trains XGBoost regarding the time series and its covariates
Usage
1 | doXGB.train(myts, cov, booster, verbose)
|
Arguments
myts |
The training part of the time series |
cov |
The covariates for the training |
booster |
Select a boosting method: gblinear or gbtree |
verbose |
Set to 1 to print information of xgboost performance; 0 for no prints |
Value
model The XGBoost model
Author(s)
Marwin Zuefle, Andre Bauer
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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