Obtains predictions on a new data set from a subsemble
fit. May require the original data, X
, if one of the learner algorithms uses the original data in its predict method.
1 2 
object 
An object of class 'subsemble', which is returned from the 
newx 
The predictor variables for a new (testing) data set. The structure should match 
x 
Original data set used to fit 
y 
Original outcome used to fit 
... 
Additional arguments passed to the 
If newx
is omitted, the predicted values from object
are returned. The learner
algorithm needs to have a corresponding prediction function with “predict” prefixed onto the algorithm name (e.g. predict.SL.glm
for SL.glm
). This should be taken care of by the SuperLearner
package.
pred 
Predicted values from subsemble fit. 
subpred 
A data.frame with the predicted values from each sublearner algorithm for the rows in 
Erin LeDell ledell@berkeley.edu
subsemble
1  # See subsemble documentation for an example.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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