Accord.NET Framework

## MulticlassScoreClassifierBaseTInputScores Method |

Overload List

Name | Description | |
---|---|---|

Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
| |

Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
| |

Scores(TInput, Double) |
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
| |

Scores(TInput, Int32) |
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Double) |
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
| |

Scores(TInput, Int32) |
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Double, Double) |
Predicts a class label vector for the given input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Int32, Double) | ||

Scores(TInput, Double, Double) |
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
| |

Scores(TInput, Int32, Double) |

See Also