Description Usage Arguments Details Value Examples

This function predicts the rankings given prior and conditional probabilities obtained from `model_nbr`

1 |

`x` |
is |

`y` |
is |

`new.x` |
is a vector of new attributes |

`n` |
is a parameter of 'memory'; that is, how fast past gets forgotten. (see details of time_weights). |

This function predicts a ranking for `test.x`

attributes. It initially builds a model for naive Bayes algorithm that calculates priors and conditional label ranking probabilities and then use them to predict rankings. The attributes can be nominal or continuous data.

a numeric vector of ranking

1 2 3 |

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labelrank documentation built on May 30, 2017, 2:38 a.m.

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