SL.glmnet.caretMod: SL.glmnet.caretMod
In benkeser/haltmle.sim: Simulation study for HAL-TMLE
Description
Uses SL.caretMod with five-fold CV to train a glmnet regression
with ten choices of tuning parameter.
Usage
1
2
SL.glmnet.caretMod(..., method = "glmnet", tuneLength = 10,
trControl = caret::trainControl(method = "cv", number = 2))
Arguments
...
Other arguments passed to SL.caretMod
method
Character describing what algorithm to train
tuneLength
The number of tuning parameter combinations
trControl
Passed to caret::train
benkeser/haltmle.sim documentation built on May 12, 2019, noon
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Description
Uses SL.caretMod with five-fold CV to train a glmnet regression with ten choices of tuning parameter.
Usage
1 2 | SL.glmnet.caretMod(..., method = "glmnet", tuneLength = 10,
trControl = caret::trainControl(method = "cv", number = 2))
|
Arguments
... |
Other arguments passed to |
method |
Character describing what algorithm to train |
tuneLength |
The number of tuning parameter combinations |
trControl |
Passed to |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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