Click or drag to resize

Boost Class

http://www.emgu.com
Boost Tree
Inheritance Hierarchy

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: 4.1.1.3497 (4.1.1.3497)
Syntax
public class Boost : UnmanagedObject, IStatModel, 
	IAlgorithm

The Boost type exposes the following members.

Constructors
  NameDescription
Public methodBoost
Create a default Boost classifier
Top
Properties
  NameDescription
Public propertyCVFolds
If CVFolds greater than 1 then algorithms prunes the built decision tree using K-fold
Public propertyMaxCategories
Cluster possible values of a categorical variable into K less than or equals maxCategories clusters to find a suboptimal split
Public propertyMaxDepth
The maximum possible depth of the tree
Public propertyMinSampleCount
If the number of samples in a node is less than this parameter then the node will not be split
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Public propertyRegressionAccuracy
Termination criteria for regression trees
Public propertyTruncatePrunedTree
If true then pruned branches are physically removed from the tree
Public propertyUse1SERule
If true then a pruning will be harsher
Public propertyUseSurrogates
If true then surrogate splits will be built
Top
Methods
  NameDescription
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release the Boost classifier and all memory associate with it
(Overrides DisposableObjectDisposeObject.)
Public methodEquals (Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodGetHashCode (Inherited from Object.)
Public methodGetType (Inherited from Object.)
Protected methodMemberwiseClone (Inherited from Object.)
Protected methodReleaseManagedResources
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.)
Public methodToString (Inherited from Object.)
Top
Fields
  NameDescription
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Top
Extension Methods
  NameDescription
Public Extension MethodClear
Clear the algorithm
(Defined by AlgorithmExtensions.)
Public Extension MethodGetDefaultName
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.)
Public Extension MethodIsEmpty
Returns true if the Algorithm is empty. e.g. in the very beginning or after unsuccessful read.
(Defined by AlgorithmExtensions.)
Public Extension MethodLoad
Loads algorithm from the file
(Defined by AlgorithmExtensions.)
Public Extension MethodLoadFromString
Loads algorithm from a String
(Defined by AlgorithmExtensions.)
Public Extension MethodPredict
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.)
Public Extension MethodRead
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.)
Public Extension MethodSave
Save the algorithm to file
(Defined by AlgorithmExtensions.)
Public Extension MethodSaveToString
Save the algorithm to a string
(Defined by AlgorithmExtensions.)
Public Extension MethodTrain(TrainData, Int32)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodTrain(IInputArray, DataLayoutType, IInputArray)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodWrite(FileStorage)Overloaded.
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.)
Public Extension MethodWrite(FileStorage, String)Overloaded.
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.)
Top
See Also