predict.superlearner: Predict method for SuperLearner object
In ecpolley/SuperLearner_Old: Super Learner Prediction
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
obtains predictions on a new data set from a SuperLearner model fit. May require the original data if one of the library algorithms uses the original data in its predict method.
Usage
1
predict.SuperLearner(object, newdata, X = NULL, Y = NULL, ...)
Arguments
object
output from SuperLearner()
newdata
New X values for prediction
X
original data set used to fit object
Y
original outcome used to fit object
...
often helpful to include ...
Details
if newdata is omitted the predicted values from object are returned. Each algorithm in the Super Learner library needs to have a corresponding prediction function with “predict.” prefixed onto the algorithm name (e.g. predict.SL.glm for SL.glm).
Value
fit
Predicted values for Super Learner
fit.library
Predicted values for each algorithm in library
cand.names
A list of the algorithms used in the super learner
Author(s)
Eric C Polley ecpolley@berkeley.edu
References
van der Laan, M. J., Polley, E. C. and Hubbard, A. E. (2008) Super Learner, Statistical Applications of Genetics and Molecular Biology, 6, article 25. http://www.bepress.com/sagmb/vol6/iss1/art25
See Also
ecpolley/SuperLearner_Old documentation built on May 15, 2019, 10:08 p.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
obtains predictions on a new data set from a SuperLearner model fit. May require the original data if one of the library algorithms uses the original data in its predict method.
Usage
1 | predict.SuperLearner(object, newdata, X = NULL, Y = NULL, ...)
|
Arguments
object |
output from |
newdata |
New X values for prediction |
X |
original data set used to fit |
Y |
original outcome used to fit |
... |
often helpful to include ... |
Details
if newdata is omitted the predicted values from object are returned. Each algorithm in the Super Learner library needs to have a corresponding prediction function with “predict.” prefixed onto the algorithm name (e.g. predict.SL.glm for SL.glm).
Value
fit |
Predicted values for Super Learner |
fit.library |
Predicted values for each algorithm in library |
cand.names |
A list of the algorithms used in the super learner |
Author(s)
Eric C Polley ecpolley@berkeley.edu
References
van der Laan, M. J., Polley, E. C. and Hubbard, A. E. (2008) Super Learner, Statistical Applications of Genetics and Molecular Biology, 6, article 25. http://www.bepress.com/sagmb/vol6/iss1/art25
See Also
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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