This is a function to print a caretStack.
Usage
# S3 method for class 'caretStack'
print(x, ...)Examples
models <- caretList(
x = iris[1:100, 1:2],
y = iris[1:100, 3],
methodList = c("rpart", "glm")
)
#> Warning: There were missing values in resampled performance measures.
meta_model <- caretStack(models, method = "lm")
print(meta_model)
#> The following models were ensembled: rpart, glm
#>
#> caret::train model:
#> Linear Regression
#>
#> No pre-processing
#> Resampling: Cross-Validated (5 fold)
#> Summary of sample sizes: 80, 79, 81, 80, 80
#> Resampling results:
#>
#> RMSE Rsquared MAE
#> 0.5541616 0.8669472 0.4294123
#>
#> Tuning parameter 'intercept' was held constant at a value of TRUE
#>
#> Final model:
#>
#> Call:
#> lm(formula = .outcome ~ ., data = dat)
#>
#> Coefficients:
#> (Intercept) rpart glm
#> -0.06621 0.14816 0.87952
#>