StackedModel {MachineShop} | R Documentation |
Stacked Regression Model
Description
Fit a stacked regression model from multiple base learners.
Usage
StackedModel(
...,
control = MachineShop::settings("control"),
weights = numeric()
)
Arguments
... |
model functions, function names, objects; other objects that can be coerced to models; or vector of these to serve as base learners. |
control |
control function, function name, or object defining the resampling method to be employed for the estimation of base learner weights. |
weights |
optional fixed base learner weights. |
Details
- Response types:
factor
,numeric
,ordered
,Surv
Value
StackedModel
class object that inherits from MLModel
.
References
Breiman, L. (1996). Stacked regression. Machine Learning, 24, 49-64.
See Also
Examples
## Requires prior installation of suggested packages gbm and glmnet to run
model <- StackedModel(GBMModel, SVMRadialModel, GLMNetModel(lambda = 0.01))
model_fit <- fit(sale_amount ~ ., data = ICHomes, model = model)
predict(model_fit, newdata = ICHomes)
[Package MachineShop version 3.7.0 Index]