Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/m02-FittedModel.R

Construct an object of the `FittedModel-class`

.

1 | ```
FittedModel(predict, data, status, details, ...)
``` |

`predict` |
A function that applies the model to predict outcomes on new test data. |

`data` |
A matrix containing the training data. |

`status` |
A vector containing the training outcomes, which should either be a binary-valued factor or a numeric vector of contiuous outcomes. |

`details` |
A list of the fitted parameters for the specified model. |

`...` |
Any extra information that is produced while learning the model; these
wil be saved in the |

Most users will never need to use this function; instead, they will
first use an existing object of the `Modeler-class`

,
call the `learn`

method of that object with the training data
to obtain a `FittedModel`

object, and then apply its
`predict`

method to test data. Only people who want to
implement the learn-predict interface for a new classification algorithm
are likely to need to call this function directly.

Returns an object of the `FittedModel-class`

.

Kevin R. Coombes <krc@silicovore.com.

See the descriptions of the `learn`

function and
the `predict`

method for details on how to fit models on
training data and make predictions on new test data.

See the description of the `Modeler-class`

for details
about the kinds of objects produced by `learn`

.

1 2 | ```
# see the examples for learn and predict and for specific
# implementations of classifiers.
``` |

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