Especificacao de floresta aleatoria
Usage
rnp_ml_floresta(
modo = c("classificacao", "regressao"),
arvores = 500,
mtry = NULL,
min_n = 5
)
Arguments
- modo
"classificacao" ou "regressao".
- arvores
Numero de arvores.
- mtry
Variaveis sorteadas por divisao. NULL usa o padrao.
- min_n
Minimo de observacoes por no.
Value
Especificacao model_spec (engine ranger).
See also
Other ml:
rnp_ml_ajustar(),
rnp_ml_arvore(),
rnp_ml_boosting(),
rnp_ml_comparar(),
rnp_ml_cv(),
rnp_ml_importancia(),
rnp_ml_knn(),
rnp_ml_particao(),
rnp_ml_prever(),
rnp_ml_receita(),
rnp_ml_regularizada(),
rnp_ml_svm(),
rnp_ml_tunagem()
Examples
rnp_ml_floresta("classificacao")
#> Random Forest Model Specification (classification)
#>
#> Main Arguments:
#> trees = 500
#> min_n = 5
#>
#> Engine-Specific Arguments:
#> importance = impurity
#>
#> Computational engine: ranger
#>