Accord.NET Framework

## IBinaryScoreClassifierTInput Methods |

The IBinaryScoreClassifierTInput generic type exposes the following members.

Methods

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

Decide(TInput) |
Computes a class-label decision for a given input.
(Inherited from IMulticlassClassifierTInput.) | |

Decide(TInput) |
Computes class-label decisions for each vector in the given input.
(Inherited from IMulticlassClassifierTInput.) | |

Decide(TInput, TClasses) |
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.) | |

Decide(TInput, TClasses) |
Computes class-label decisions for the given input.
(Inherited from IMultilabelClassifierTInput, TClasses.) | |

Score(TInput) |
Computes a numerical score measuring the association between
the given input vector and its most strongly
associated class (as predicted by the classifier).
(Inherited from IMulticlassScoreClassifierTInput.) | |

Score(TInput) |
Computes a numerical score measuring the association between
each of the given input vectors and their
respective most strongly associated classes.
(Inherited from IMulticlassScoreClassifierTInput.) | |

Score(TInput, TClasses) |
Predicts a class label for the input vector, returning a
numerical score measuring the strength of association of the
input vector to its most strongly related class.
(Inherited from IMulticlassOutScoreClassifierTInput, TClasses.) | |

Score(TInput, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and their
respective most strongly associated classes.
(Inherited from IMulticlassScoreClassifierTInput.) | |

Score(TInput, TClasses) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from IMulticlassScoreClassifierBaseTInput, TClasses.) | |

Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Score(TInput, Int32) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Score(TInput, Int32) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Score(TInput, TClasses, Double) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from IMulticlassScoreClassifierBaseTInput, TClasses.) | |

Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Score(TInput, Int32, Double) | ||

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

Scores(TInput) |
Computes a numerical score measuring the association between
each of the given input vectors and each
possible class.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Scores(TInput, TClasses) |
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.
(Inherited from IMultilabelOutScoreClassifierTInput, TClasses.) | |

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

Scores(TInput, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and each
possible class.
(Inherited from IMultilabelScoreClassifierTInput.) | |

Scores(TInput, TClasses) |
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.
(Inherited from IMultilabelScoreClassifierBaseTInput, TClasses.) | |

Scores(TInput, TClasses, 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.
(Inherited from IMultilabelOutScoreClassifierTInput, TClasses.) | |

Scores(TInput, TClasses, 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.
(Inherited from IMultilabelScoreClassifierBaseTInput, TClasses.) | |

ToMulticlass |
Views this instance as a multi-class distance classifier,
giving access to more advanced methods, such as the prediction
of integer labels.
| |

ToMulticlassT |
Views this instance as a multi-class distance classifier,
giving access to more advanced methods, such as the prediction
of integer labels.
| |

ToMultilabel |
Views this instance as a multi-label classifier,
giving access to more advanced methods, such as the prediction
of one-hot vectors.
(Inherited from IMulticlassClassifierTInput.) | |

Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.) | |

Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.) | |

Transform(TInput, TOutput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ITransformTInput, TOutput.) |

See Also