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MultilabelSupportVectorLearning Class

Note: This API is now obsolete.

Obsolete.
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningParallelLearningBase
    Accord.MachineLearningOneVsRestLearningDouble, SupportVectorMachineIKernelDouble, MultilabelSupportVectorMachine
      Accord.MachineLearning.VectorMachines.LearningBaseMultilabelSupportVectorLearningDouble, SupportVectorMachineIKernelDouble, IKernelDouble, MultilabelSupportVectorMachine
        Accord.MachineLearning.VectorMachines.LearningMultilabelSupportVectorLearning

Namespace:  Accord.MachineLearning.VectorMachines.Learning
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.6.0
Syntax
[ObsoleteAttribute("Please specify the desired kernel function as a template parameter.")]
public class MultilabelSupportVectorLearning : BaseMultilabelSupportVectorLearning<double[], SupportVectorMachine<IKernel<double[]>>, IKernel<double[]>, MultilabelSupportVectorMachine>
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The MultilabelSupportVectorLearning type exposes the following members.

Constructors
Properties
  NameDescription
Public propertyAlgorithm Obsolete.
Obsolete.
Public propertyKernel
Gets or sets the kernel function to be used to learn the kernel support vector machines.
Public propertyLearner
Gets or sets a function that takes a set of parameters and creates a learning algorithm for learning each of the binary inner classifiers needed by the one-vs-rest classification strategy.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public propertyModel
Gets or sets the model being learned.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
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Methods
  NameDescription
Public methodConfigureTResult(FuncTResult)
Sets a callback function that takes a set of parameters and creates a learning algorithm for learning each of the binary inner classifiers needed by the one-vs-rest classification strategy. Calling this method sets the Learner property.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public methodConfigureT, TResult(FuncT, TResult)
Sets a callback function that takes a set of parameters and creates a learning algorithm for learning each of the binary inner classifiers needed by the one-vs-rest classification strategy. Calling this method sets the Learner property.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public methodStatic memberConvert
Converts SupportVectorMachineLearningConfigurationFunction into a lambda function that can be passed to the Learner property of a MultilabelSupportVectorLearning learning algorithm.
Protected methodCreate
Creates an instance of the model to be learned. Inheritors of this abstract class must define this method so new models can be created from the training data.
(Overrides OneVsRestLearningTInput, TBinary, TModelCreate(Int32, Int32).)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodLearn(TInput, Boolean, Double)
Learns a model that can map the given inputs to the given outputs.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public methodLearn(TInput, Int32, Double)
Learns a model that can map the given inputs to the given outputs.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public methodLearn(TInput, Int32, Double)
Learns a model that can map the given inputs to the given outputs.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Protected methodOnSubproblemFinished
Raises the [E:SubproblemFinished] event.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Protected methodOnSubproblemStarted
Raises the [E:SubproblemStarted] event.
(Inherited from OneVsRestLearningTInput, TBinary, TModel.)
Public methodRun Obsolete.
Obsolete.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Events
Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodToT
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.)
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See Also