Accord.NET Framework

## MultilabelSupportVectorMachineTModel, TKernel, TInput Methods |

The MultilabelSupportVectorMachineTModel, TKernel, TInput generic type exposes the following members.

Methods

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

Compress |
If the inner machines have a linear kernel, compresses
their support vectors into a single parameter vector for
each machine.
| |

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.
(Inherited from MultilabelClassifierBaseTInput.) | |

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

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

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

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

Decide(TInput, Int32) |
Computes a class-label decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.) | |

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

Decide(TInput, Boolean) |
Computes class-label decisions for the given input.
(Overrides MultilabelClassifierBaseTInputDecide(TInput, Boolean).) | |

Decide(TInput, Int32) |
Computes whether a class label applies to an input vector.
(Overrides OneVsRestTModel, TInputDecide(TInput, Int32).) | |

Decide(TInput, Int32) |
Computes a class-label decision for a given input.
(Overrides MultilabelScoreClassifierBaseTInputDecide(TInput, Int32).) | |

Dispose |
Performs application-defined tasks associated with
freeing, releasing, or resetting unmanaged resources.
| |

Dispose(Boolean) |
Releases unmanaged and - optionally - managed resources
| |

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.) | |

GetClassifierForClass |
Gets the binary classifier for particular class index.
(Inherited from OneVsRestTModel, TInput.) | |

GetEnumerator |
Returns an enumerator that iterates through the collection.
(Inherited from OneVsRestTModel, TInput.) | |

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

GetLastKernelEvaluations |
Gets the total kernel evaluations performed in the last call
to Decide(TInput) and similar functions in the current thread.
| |

GetLastKernelHits |
Gets the number of cache hits during in the last call
to Decide(TInput) and similar functions in the current thread.
| |

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

LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihood(TInput, Int32, Boolean) |
Computes a log-likelihood measuring the association between
the given input vector and a given
classIndex.
(Inherited from OneVsRestTModel, TInput.) | |

LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Double) |
Predicts a class label vector for the given input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Double) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Double) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Double) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Boolean, Double) |
Predicts a class label vector for the given input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Double, Double) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

LogLikelihoods(TInput, Boolean, Double) |
Predicts a class label vector for the given input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Overrides MultilabelLikelihoodClassifierBaseTInputLogLikelihoods(TInput, Boolean, Double).) | |

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

Probabilities(TInput) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Double) |
Predicts a class label vector for the given input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Boolean, Double) |
Predicts a class label vector for the given input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Double, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probabilities(TInput, Boolean, Double) | ||

Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

Reset |
Resets the cache and machine statistics
so they can be recomputed on next evaluation.
| |

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

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

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

Score(TInput, Int32, Double) | ||

Score(TInput, Int32, Double) | ||

Score(TInput, Int32, Boolean) | ||

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

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

Scores(TInput, Boolean) |
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 MultilabelScoreClassifierBaseTInput.) | |

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

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

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.
(Inherited from MultilabelScoreClassifierBaseTInput.) | |

Scores(TInput, Boolean, 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 MultilabelScoreClassifierBaseTInput.) | |

Scores(TInput, Boolean, 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 MultilabelScoreClassifierBaseTInput.) | |

Scores(TInput, Boolean, 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.
(Overrides MultilabelScoreClassifierBaseTInputScores(TInput, Boolean, Double).) | |

ToMulticlass |
Views this instance as a multi-class generative classifier.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) | |

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

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

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

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

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

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

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

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

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