write.SL.template: Wrapper functions for prediction algorithms in SuperLearner
In SuperLearner: Super Learner Prediction
write.SL.template R Documentation
Wrapper functions for prediction algorithms in SuperLearner
Description
Template function for SuperLearner prediction wrappers and built in options.
Usage
write.SL.template(file = "", ...)
Arguments
file
A connection, or a character string naming a file to print to. Passed to cat.
...
Additional arguments passed to cat
Details
Describe SL.* structure here
Value
A list with two elements:
pred
The predicted values for the rows in newX.
fit
A list. Contains all objects necessary to get predictions for new observations from specific algorithm.
Author(s)
Eric C Polley epolley@uchicago.edu
See Also
SuperLearner
Examples
write.SL.template(file = '')
SuperLearner documentation built on May 29, 2024, 5:25 a.m.
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.
| write.SL.template | R Documentation |
Wrapper functions for prediction algorithms in SuperLearner
Description
Template function for SuperLearner prediction wrappers and built in options.
Usage
write.SL.template(file = "", ...)
Arguments
file |
A connection, or a character string naming a file to print to. Passed to |
... |
Additional arguments passed to |
Details
Describe SL.* structure here
Value
A list with two elements:
pred |
The predicted values for the rows in |
fit |
A list. Contains all objects necessary to get predictions for new observations from specific algorithm. |
Author(s)
Eric C Polley epolley@uchicago.edu
See Also
SuperLearner
Examples
write.SL.template(file = '')
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.