train_xgboost_model: Training XGBoost model, using optimized parameters
In Bilot/AI-jack-opensource-R: Package for Machine Learning project handling
Description
Usage
Arguments
Value
Description
Training XGBoost model, using optimized parameters
Usage
1
train_xgboost_model(best_params, train_frame, val_frame, set, runid)
Arguments
best_params
optimised parameters
train_frame
H2OFrame for training
val_frame
H2OFrame for validation
set
config object
runid
execution ID
Value
XGBOOST model
Bilot/AI-jack-opensource-R documentation built on July 28, 2020, 1:15 a.m.
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Description Usage Arguments Value
Description
Training XGBoost model, using optimized parameters
Usage
1 | train_xgboost_model(best_params, train_frame, val_frame, set, runid)
|
Arguments
best_params |
optimised parameters |
train_frame |
H2OFrame for training |
val_frame |
H2OFrame for validation |
set |
config object |
runid |
execution ID |
Value
XGBOOST model
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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