boosting_model

0th

Percentile

boosting_model

generates the code to create the boosting model.

Usage
boosting_model(data = "datos.aprendizaje", variable.pred = NULL,
  model.var = "modelo.boosting", n.trees = 50,
  distribution = "gaussian", shrinkage = 0.1)
Arguments
data

the name of the learning data.

variable.pred

the name of the variable to be predicted.

model.var

the name of the variable that stores the resulting model.

n.trees

the n.trees parameter of the model.

distribution

the distribution parameter of the model.

shrinkage

the shrinkage parameter of the model.

See Also

gbm

Aliases
  • boosting_model
Examples
# NOT RUN {
library(gbm)
library(dplyr)

x <- boosting_model('iris', 'Petal.Length')
exe(x)
print(modelo.boosting)

# }
Documentation reproduced from package regressoR, version 1.1.7, License: GPL (>= 2)

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