Obtains predictions on a new data set from a SuperLearner fit. May require the original data if one of the library algorithms uses the original data in its predict method.
# S3 method for SuperLearner
predict(object, newdata, X = NULL, Y = NULL,
onlySL = FALSE, ...)Predicted values from Super Learner fit
Predicted values for each algorithm in library
Fitted object from SuperLearner
New X values for prediction
Original data set used to fit object, if needed by fit object.
Original outcome used to fit object, if needed by fit object.
Logical. If TRUE, only compute predictions for algorithms with non-zero coefficients in the super learner object. Default is FALSE (computes predictions for all algorithms in library).
Additional arguments passed to the predict.SL.*
functions
Eric C Polley epolley@uchicago.edu
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 the ``predict.'' prefixed onto the
algorithm name (e.g. predict.SL.glm for SL.glm).
SuperLearner