Creates an object of class `tune.control`

to be used with
the `tune`

function, containing various control parameters.

1 2 3 4 5 |

`random` |
if an integer value is specified, |

`nrepeat` |
specifies how often training shall be repeated. |

`repeat.aggregate` |
function for aggregating the repeated training results. |

`sampling` |
sampling scheme. If |

`sampling.aggregate,sampling.dispersion` |
functions for aggregating the training results on the generated training samples (default: mean and standard deviation). |

`cross` |
number of partitions for cross-validation. |

`fix` |
part of the data used for training in fixed sampling. |

`nboot` |
number of bootstrap replications. |

`boot.size` |
size of the bootstrap samples. |

`best.model` |
if |

`performances` |
if |

`error.fun` |
function returning the error measure to be minimized.
It takes two arguments: a vector of true values and a vector of
predicted values. If |

An object of class `"tune.control"`

containing all the above
parameters (either the defaults or the user specified values).

David Meyer

David.Meyer@R-project.org

`tune`

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

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