H20 - R의 누적 회귀 분석의 오류 메시지

Question

물에서 시작하여 R f에서 임의의 포레스트 및 다중 회귀 분석을 앙상블하려고합니다. 내가 사용하고있어 H2O 데이터 프레임은 다음과 같다 :

: 나는 두 모델 및 변수 "DIF"를 예측하는 슈퍼 학습자를 설정하려고, 그리고

summary(training_frame) 
HS    AS    HST    AST    HF    AF    
Min. : 3.00 Min. : 2.00 Min. : 0.000 Min. : 0.000 Min. : 3.00 Min. : 1.00 
1st Qu.:11.00 1st Qu.: 8.00 1st Qu.: 3.000 1st Qu.: 2.000 1st Qu.:11.00 1st Qu.:11.00 
Median :14.00 Median :11.00 Median : 5.000 Median : 4.000 Median :14.00 Median :14.00 
Mean :14.44 Mean :11.53 Mean : 5.211 Mean : 4.063 Mean :14.39 Mean :14.03 
3rd Qu.:18.00 3rd Qu.:15.00 3rd Qu.: 7.000 3rd Qu.: 5.000 3rd Qu.:17.00 3rd Qu.:17.00 
Max. :36.00 Max. :28.00 Max. :18.000 Max. :13.000 Max. :30.00 Max. :27.00 
HC    AC    HY    AY    HR    AR    
Min. : 0.000 Min. : 0.000 Min. :0.000 Min. :0.000 Min. :0.0000 Min. :0.0000 
1st Qu.: 4.000 1st Qu.: 3.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:0.0000 1st Qu.:0.0000 
Median : 6.000 Median : 5.000 Median :2.000 Median :3.000 Median :0.0000 Median :0.0000 
Mean : 6.421 Mean : 4.824 Mean :2.563 Mean :2.858 Mean :0.1632 Mean :0.2079 
3rd Qu.: 8.000 3rd Qu.: 7.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:0.0000 3rd Qu.:0.0000 
Max. :17.000 Max. :13.000 Max. :8.000 Max. :7.000 Max. :2.0000 Max. :3.0000 
dif    
Min. :-5.0000 
1st Qu.:-1.0000 
Median : 0.0000 
Mean : 0.5026 
3rd Qu.: 2.0000 
Max. : 6.0000 

코드는 다음과 같다

|============================================================================================| 100% 
[1] "Cross-validating and training base learner 1: regre.1" 
Error in match.fun(learner[l])(y = y, x = x, training_frame = training_frame, : 
    unused arguments (y = y, x = x, training_frame = training_frame, validation_frame = NULL, fold_column = fold_column, keep_cross_validation_folds = TRUE) 
Timing stopped at: 0 0 0 

내 코드에 어떤 문제가 :

predictores <- names(X[,-13]) 


regre.1 <- function(..,family = "gaussian",lambda = 0) h2o.glm.wrapper(..,family = family,lambda = lambda) 

randomforest.1 <- function(...,mtries = 5,ntree = 500) h2o.randomForest.wrapper(...,mtries = mtries,ntree = ntree) 

h2o.glm.1 <- function(..., family = "gaussian",lambda = 0) h2o.glm.wrapper(..., family = family,lambda = lambda) 

learner <- c("regre.1", "randomforest.1") 

metalearner <- "h2o.glm.1" 

fit <- h2o.ensemble(x = predictores, y = "dif", 
        training_frame = training_frame, 
        learner = learner, 
        metalearner = metalearner, 
        cvControl = list(V = 5)) 

그러나,이 오류 메시지가 나타납니다?

Answer 1

regre.1에서 ... 대신 ..을 사용합니다!