boosting_importance_plot

0th

Percentile

boosting_importance_plot

generates the code to make the graph of variable importance.

Usage
boosting_importance_plot(model.var = "modelo.boosting",
  data = "datos.aprendizaje")
Arguments
model.var

the name of the variable that stores the resulting model.

data

the name of the learning data.

Aliases
  • boosting_importance_plot
Examples
# NOT RUN {
library(gbm)
library(ggplot2)
library(forcats)
library(dplyr)

x <- boosting_model('iris', 'Petal.Length', "model_boosting")
exe(x)

x <- boosting_importance_plot('model_boosting', 'iris')
exe(x)
# }
Documentation reproduced from package regressoR, version 1.1.7, License: GPL (>= 2)

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