Boost Class

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Boost Tree

Inheritance Hierarchy

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: 4.0.1.3373 (4.0.1.3373)

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

Properties

	Name	Description
	CVFolds	If CVFolds greater than 1 then algorithms prunes the built decision tree using K-fold
	MaxCategories	Cluster possible values of a categorical variable into K less than or equals maxCategories clusters to find a suboptimal split
	MaxDepth	The maximum possible depth of the tree
	MinSampleCount	If the number of samples in a node is less than this parameter then the node will not be split
	Ptr	Pointer to the unmanaged object (Inherited from UnmanagedObject.)
	RegressionAccuracy	Termination criteria for regression trees
	TruncatePrunedTree	If true then pruned branches are physically removed from the tree
	Use1SERule	If true then a pruning will be harsher
	UseSurrogates	If true then surrogate splits will be built

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.)

Fields

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

Extension Methods

	Name	Description
	Clear	Clear the algorithm (Defined by AlgorithmExtensions.)
	GetDefaultName	Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string. (Defined by AlgorithmExtensions.)
	IsEmpty	Returns true if the Algorithm is empty. e.g. in the very beginning or after unsuccessful read. (Defined by AlgorithmExtensions.)
	Load	Loads algorithm from the file (Defined by AlgorithmExtensions.)
	LoadFromString	Loads algorithm from a String (Defined by AlgorithmExtensions.)
	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 algorithm to file (Defined by AlgorithmExtensions.)
	SaveToString	Save the algorithm to a string (Defined by AlgorithmExtensions.)
	Train(TrainData, Int32)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Train(IInputArray, DataLayoutType, IInputArray)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Write(FileStorage)	Overloaded. Stores algorithm parameters in a file storage (Defined by AlgorithmExtensions.)
	Write(FileStorage, String)	Overloaded. Stores algorithm parameters in a file storage (Defined by AlgorithmExtensions.)