e_xgb_importance: Var importance XGBoosting
In predictoR: Predictive Data Analysis System
View source: R/mod_model_xgb_utils.R
e_xgb_importance R Documentation
Var importance XGBoosting
Description
Var importance XGBoosting
Usage
e_xgb_importance(modelo, error = "Gain")
Arguments
modelo
a random forest model.
error
a character specifying the type of importance.
Value
echarts4r plot
Author(s)
Joseline Quiros <joseline.quiros@promidat.com>
Examples
model <- traineR::train.xgboost(Species ~ ., data = iris, nrounds = 20)
e_xgb_importance(model)
predictoR documentation built on Nov. 1, 2024, 1:08 a.m.
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View source: R/mod_model_xgb_utils.R
| e_xgb_importance | R Documentation |
Var importance XGBoosting
Description
Var importance XGBoosting
Usage
e_xgb_importance(modelo, error = "Gain")
Arguments
modelo |
a random forest model. |
error |
a character specifying the type of importance. |
Value
echarts4r plot
Author(s)
Joseline Quiros <joseline.quiros@promidat.com>
Examples
model <- traineR::train.xgboost(Species ~ ., data = iris, nrounds = 20)
e_xgb_importance(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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