# Wrapper function for SuperLearner prediction algorithm

### Description

A function in the default `SuperLearner`

library used by `tmle`

. This wrapper is built into `SuperLearner 2.0-6`

, and is defined here for backwards-compatibility with older versions of `SuperLearner`

. This function may be incorporated into any user-supplied `SuperLearner`

library, but will not ordinarily be called directly by the user.

### Usage

1 | ```
SL.glm.interaction(Y.temp, X.temp, newX.temp, family, obsWeights, ...)
``` |

### Arguments

`Y.temp` |
The outcome |

`X.temp` |
The training data set |

`newX.temp` |
The validation data set (the observations to make predictions from) |

`family` |
outcome distribution, either |

`obsWeights` |
observation weights, currently unused |

`...` |
additional arguments |

### Value

`out` |
The predicted outcome on the scale of the outcome |

`fit` |
A list of elements needed for the predict method on the specific algorithm |

### Author(s)

Susan Gruber