BaseSupportVectorCalibrationTModel, TKernel, TInput Class

Base class for SupportVectorMachine calibration algorithms.

Inheritance Hierarchy

SystemObject
Accord.MachineLearning.VectorMachines.LearningBaseSupportVectorCalibrationTModel, TKernel, TInput
Accord.MachineLearning.VectorMachines.LearningSupportVectorReductionBaseTModel, TKernel, TInput

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

Syntax

Copy

public abstract class BaseSupportVectorCalibration<TModel, TKernel, TInput> : ISupervisedBinaryLearning<TModel, TInput>, 
	ISupervisedMulticlassLearning<TModel, TInput>, ISupervisedMultilabelLearning<TModel, TInput>, ISupervisedLearning<TModel, TInput, int[]>, 
	ISupervisedLearning<TModel, TInput, bool[]>, ISupervisedLearning<TModel, TInput, int>, 
	ISupervisedLearning<TModel, TInput, bool>
where TModel : SupportVectorMachine<TKernel, TInput>
where TKernel : Object, IKernel<TInput>
where TInput : ICloneable

Public MustInherit Class BaseSupportVectorCalibration(Of TModel As SupportVectorMachine(Of TKernel, TInput), TKernel As {Object, IKernel(Of TInput)}, TInput As ICloneable)
	Implements ISupervisedBinaryLearning(Of TModel, TInput), ISupervisedMulticlassLearning(Of TModel, TInput), 
	ISupervisedMultilabelLearning(Of TModel, TInput), ISupervisedLearning(Of TModel, TInput, Integer()), 
	ISupervisedLearning(Of TModel, TInput, Boolean()), ISupervisedLearning(Of TModel, TInput, Integer), 
	ISupervisedLearning(Of TModel, TInput, Boolean)

Request Example View Source

Type Parameters

TModel
TKernel
TInput

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

Constructors

	Name	Description
	BaseSupportVectorCalibrationTModel, TKernel, TInput	Initializes a new instance of the BaseSupportVectorCalibrationTModel, TKernel, TInput class.
	BaseSupportVectorCalibrationTModel, TKernel, TInput(TModel)	Initializes a new instance of the BaseSupportVectorCalibrationTModel, TKernel, TInput class.
	BaseSupportVectorCalibrationTModel, TKernel, TInput(ISupportVectorMachineTInput)	Initializes a new instance of the BaseSupportVectorCalibrationTModel, TKernel, TInput class.
	BaseSupportVectorCalibrationTModel, TKernel, TInput(ISupportVectorMachineDouble, TInput, Int32)	Obsolete.

Top

Properties

	Name	Description
	Input	Gets or sets the input vectors for training.
	IsLinear	Gets whether the machine being learned is linear.
	Kernel	Gets the machine's IKernel function.
	Model	Gets the machine to be taught.
	Output	Gets or sets the output labels for each training vector.
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Top

Methods

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

Top

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.)

Top

Reference

Accord.MachineLearning.VectorMachines.Learning Namespace

BaseSupportVectorCalibrationAddLanguageSpecificTextSet("LSTB9AE7984_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TKernel, TInputAddLanguageSpecificTextSet("LSTB9AE7984_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

BaseSupportVectorCalibrationTModel, TKernel, TInput Class