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Boost Class
Boost Tree
Inheritance Hierarchy

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

The Boost type exposes the following members.

Public methodBoost
Create a default Boost classifier
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
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
(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.)
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Extension Methods
Public Extension MethodClear
Clear the statistic model
(Defined by StatModelExtensions.)
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 statistic model to file
(Defined by StatModelExtensions.)
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
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.)
See Also