Accord.NET Framework

## MulticlassSupportVectorMachine Properties |

The MulticlassSupportVectorMachine type exposes the following members.

Properties

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

Classes | Obsolete.
Gets the number of classes.
| |

Count |
Gets the number of inner binary classification models used by
this instance. It should correspond to (c * (c - 1)) / 2
where c is the number of classes.
(Inherited from OneVsOneTBinary, TInput.) | |

Indices |
Gets the pair of class indices handled by each inner binary classification model.
(Inherited from OneVsOneTBinary, TInput.) | |

Inputs | Obsolete.
Gets the number of inputs of the machines.
| |

IsProbabilistic |
Gets whether this machine has been calibrated to
produce probabilistic outputs (through the Probability(TInput)
and Probabilities(TInput) methods).
| |

ItemInt32 |
Gets a inner binary classification model inside this OneVsOneTBinary
classifier, together with the pair of classes that it has been designed to
distinguish.
(Inherited from OneVsOneTBinary, TInput.) | |

ItemInt32, Int32 |
Gets or sets the inner binary classification model used
to distinguish between the given pair of classes.
(Inherited from OneVsOneTBinary, TInput.) | |

Kernel |
Gets or sets the kernel function used in all machines at once.
(Inherited from MulticlassSupportVectorMachineTModel, TKernel, TInput.) | |

LastDecisionPath |
Gets the last decision path without cloning.
(Inherited from OneVsOneTBinary, TInput.) | |

Machines | Obsolete.
Gets the subproblems classifiers.
| |

MachinesCount | Obsolete.
Gets the total number of machines
in this multi-class classifier.
| |

Method |
Gets or sets the multi-class classification method to be
used when deciding for the class of a given input vector.
Default is Elimination.
(Inherited from OneVsOneTBinary, TInput.) | |

Models |
Gets the inner binary classification models.
(Inherited from OneVsOneTBinary, TInput.) | |

NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) | |

NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) | |

NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) | |

ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from OneVsOneTBinary, TInput.) | |

SupportVectorCache |
Gets or sets the minimum number of shared support vectors that a
machine should have for kernel evaluation caching to be enabled.
Default is 64.
(Inherited from MulticlassSupportVectorMachineTModel, TKernel, TInput.) | |

SupportVectorCount |
Gets the total number of support vectors
in the entire multi-class machine.
(Inherited from MulticlassSupportVectorMachineTModel, TKernel, TInput.) | |

SupportVectorSharedCount |
Gets the number of shared support
vectors in the multi-class machine.
(Inherited from MulticlassSupportVectorMachineTModel, TKernel, TInput.) | |

SupportVectorUniqueCount |
Gets the number of unique support
vectors in the multi-class machine.
(Inherited from MulticlassSupportVectorMachineTModel, TKernel, TInput.) | |

Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from OneVsOneTBinary, TInput.) | |

Track |
Gets or sets whether to track the decision path associated
with each decision. The track will be available through the
GetLastDecisionPath method. Default is true.
(Inherited from OneVsOneTBinary, TInput.) |

See Also