ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput Class

Probabilistic Output Calibration.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearningBinaryLearningBaseTModel, TInput
    Accord.MachineLearning.VectorMachines.LearningProbabilisticOutputCalibrationBaseTModel, TKernel, TInput
      Accord.MachineLearning.VectorMachines.LearningProbabilisticOutputCalibration
      Accord.MachineLearning.VectorMachines.LearningProbabilisticOutputCalibrationTKernel
      Accord.MachineLearning.VectorMachines.LearningProbabilisticOutputCalibrationTKernel, TInput

Namespace: Accord.MachineLearning.VectorMachines.Learning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

Copy

public abstract class ProbabilisticOutputCalibrationBase<TModel, TKernel, TInput> : BinaryLearningBase<TModel, TInput>, 
	ISupportVectorMachineLearning<TInput>, ISupervisedBinaryLearning<ISupportVectorMachine<TInput>, TInput>, 
	ISupervisedMulticlassLearning<ISupportVectorMachine<TInput>, TInput>, ISupervisedMultilabelLearning<ISupportVectorMachine<TInput>, TInput>, 
	ISupervisedLearning<ISupportVectorMachine<TInput>, TInput, int[]>, ISupervisedLearning<ISupportVectorMachine<TInput>, TInput, bool[]>, 
	ISupervisedLearning<ISupportVectorMachine<TInput>, TInput, int>, ISupervisedLearning<ISupportVectorMachine<TInput>, TInput, bool>, 
	ISupervisedLearning<ISupportVectorMachine<TInput>, TInput, double>
where TModel : SupportVectorMachine<TKernel, TInput>
where TKernel : Object, IKernel<TInput>
where TInput : ICloneable

Public MustInherit Class ProbabilisticOutputCalibrationBase(Of TModel As SupportVectorMachine(Of TKernel, TInput), TKernel As {Object, IKernel(Of TInput)}, TInput As ICloneable)
	Inherits BinaryLearningBase(Of TModel, TInput)
	Implements ISupportVectorMachineLearning(Of TInput), ISupervisedBinaryLearning(Of ISupportVectorMachine(Of TInput), TInput), 
	ISupervisedMulticlassLearning(Of ISupportVectorMachine(Of TInput), TInput), ISupervisedMultilabelLearning(Of ISupportVectorMachine(Of TInput), TInput), 
	ISupervisedLearning(Of ISupportVectorMachine(Of TInput), TInput, Integer()), 
	ISupervisedLearning(Of ISupportVectorMachine(Of TInput), TInput, Boolean()), 
	ISupervisedLearning(Of ISupportVectorMachine(Of TInput), TInput, Integer), 
	ISupervisedLearning(Of ISupportVectorMachine(Of TInput), TInput, Boolean), 
	ISupervisedLearning(Of ISupportVectorMachine(Of TInput), TInput, Double)

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Type Parameters

TModel
TKernel
TInput

The ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput type exposes the following members.

Constructors

	Name	Description
	ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput	Initializes a new instance of the ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput class.
	ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput(TModel)	Initializes a new instance of Platt's Probabilistic Output Calibration algorithm.
	ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput(ISupportVectorMachineDouble, TInput, Int32)	Obsolete.

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Properties

	Name	Description
	Iterations	Gets or sets the maximum number of iterations. Default is 100.
	Model	Gets or sets the classifier being learned. (Inherited from BinaryLearningBaseTModel, TInput.)
	StepSize	Gets or sets the minimum step size used during line search. Default is 1e-10.
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running. (Inherited from BinaryLearningBaseTModel, TInput.)
	Tolerance	Gets or sets the tolerance under which the answer must be found. Default is 1-e5.

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Methods

	Name	Description
	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.)
	Learn(TInput, Boolean, Double)	Learns a model that can map the given inputs to the given outputs. (Inherited from BinaryLearningBaseTModel, TInput.)
	Learn(TInput, Double, Double)	Learns a model that can map the given inputs to the given outputs. (Inherited from BinaryLearningBaseTModel, TInput.)
	Learn(TInput, Int32, Double)	Learns a model that can map the given inputs to the given outputs. (Inherited from BinaryLearningBaseTModel, TInput.)
	Learn(TInput, Int32, Double)	Learns a model that can map the given inputs to the given outputs. (Inherited from BinaryLearningBaseTModel, TInput.)
	Learn(TInput, Boolean, Double)	Learns a model that can map the given inputs to the given outputs. (Overrides BinaryLearningBaseTModel, TInputLearn(TInput, Boolean, Double).)
	LogLikelihood	Obsolete. Obsolete.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Run	Obsolete. Obsolete.
	Run(Boolean)	Obsolete. Obsolete.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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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.)

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Reference

Accord.MachineLearning.VectorMachines.Learning Namespace

ProbabilisticOutputCalibrationBaseAddLanguageSpecificTextSet("LST6ED07D76_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TKernel, TInputAddLanguageSpecificTextSet("LST6ED07D76_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

ProbabilisticOutputCalibrationBaseTModel, TKernel, TInput Class