# Predict method for a 'subsemble' object.

### Description

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.

### Usage

1 2 |

### Arguments

`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 |

### Details

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.

### Value

`pred` |
Predicted values from subsemble fit. |

`subpred` |
A data.frame with the predicted values from each sublearner algorithm for the rows in |

### Author(s)

Erin LeDell ledell@berkeley.edu

### See Also

`subsemble`

### Examples

1 | ```
# See subsemble documentation for an example.
``` |

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