Description Usage Arguments Details Value Author(s) See Also

Prediction of data using a model built with `gensemble`

1 2 |

`object` |
An instance of |

`X` |
The input predictors. |

`type` |
For classification, either probabilities or the class name can be returned. |

`method` |
For classification, if |

`return.all` |
For regression, if |

`...` |
Present for compatibility. You could put stuff here but it won't be used. |

Please see `gensemble`

for examples.

The return value will vary depending on classification or regression, and if `return.all`

was `FALSE`

(default) or `TRUE`

.

For classification, the return value will be a matrix of probabilities where each row corresponds to the input `X`

and the columns are the classes and the probabilites aggregated from the underlying models.

For regression, the return value will be a vector of the predictor values. If `return.all`

is `TRUE`

, the return value will be a list. The first item is the vector of predicted values, and the second is a matrix where each row corresponds to the input `X`

and each column is the predicted value generated from each model. For example an input X with 150 rows, using a gensemble with 100 underlying models would return a 150 row x 100 column matrix.

Peter Werner and Eugene Dubossarsky gensemble.r@gmail.com

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