Boost Class

Boost Class

http://www.emgu.com

Boost Tree

Inheritance Hierarchy

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 3.0.0.2161 (3.0.0.2161)

Syntax

public class Boost : UnmanagedObject, IStatModel, 
	IAlgorithm

Public Class Boost
	Inherits UnmanagedObject
	Implements IStatModel, IAlgorithm

public ref class Boost : public UnmanagedObject, 
	IStatModel, IAlgorithm

type Boost =  
    class
        inherit UnmanagedObject
        interface IStatModel
        interface IAlgorithm
    end

The Boost type exposes the following members.

Constructors

	Name	Description
	Boost	Create a default Boost classifier

Methods

	Name	Description
	Dispose	The dispose function that implements IDisposable interface (Inherited from DisposableObject.)
	DisposeObject	Release the Boost classifier and all memory associate with it (Overrides DisposableObjectDisposeObject.)
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Destructor (Inherited from DisposableObject.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ReleaseManagedResources	Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object (Inherited from DisposableObject.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Extension Methods

	Name	Description
	Clear	Clear the statistic model (Defined by StatModelExtensions.)
	Predict	Predicts response(s) for the provided sample(s) (Defined by StatModelExtensions.)
	Read	Reads algorithm parameters from a file storage. (Defined by AlgorithmExtensions.)
	Save	Save the statistic model to file (Defined by StatModelExtensions.)
	Train(TrainData, Int32)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Train(IInputArray, DataLayoutType, IInputArray)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Write	Stores algorithm parameters in a file storage (Defined by AlgorithmExtensions.)

Fields

	Name	Description
	_ptr	A pointer to the unmanaged object (Inherited from UnmanagedObject.)

Properties

	Name	Description
	Ptr	Pointer to the unmanaged object (Inherited from UnmanagedObject.)