Accord.NET Framework

## MulticlassScoreClassifierBaseTInput Methods |

The MulticlassScoreClassifierBaseTInput generic type exposes the following members.

Methods

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

Decide(TInput) |
Computes class-label decisions for a given set of input vectors.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Decide(TInput) |
Computes a class-label decision for a given input.
(Overrides ClassifierBaseTInput, TClassesDecide(TInput).) | |

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

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

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

Decide(TInput, Int32) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) | |

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

Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

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).
| |

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).
| |

Score(TInput, Double) |
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.
| |

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

Score(TInput, Int32) |
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.
| |

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

Score(TInput, 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.
| |

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

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

Score(TInput, Int32) |
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.
| |

Score(TInput, Double, 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.
| |

Score(TInput, Int32, Double) | ||

Score(TInput, Int32, Double) | ||

Score(TInput, Int32, Double) | ||

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) | ||

ToMulticlass |
Views this instance as a multi-class generative classifier.
| |

ToMulticlassT |
Views this instance as a multi-class generative classifier.
| |

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

ToString | Returns a string that represents the current object. (Inherited from Object.) | |

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

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

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

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

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

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

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

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Overrides MulticlassClassifierBaseTInputTransform(TInput, Double).) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Overrides MulticlassClassifierBaseTInputTransform(TInput, Double).) |

Extension Methods

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

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |

To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |

See Also