Emgu CV Library Documentation
RTrees Class
NamespacesEmgu.CV.MLRTrees

www.emgu.com/wiki
Random tree
Declaration Syntax
C#Visual BasicVisual C++
public class RTrees : StatModel
Public Class RTrees _
	Inherits StatModel
public ref class RTrees : public StatModel
Members
All MembersConstructorsMethodsPropertiesFields



IconMemberDescription
RTrees()()()
Create a random tree

_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Clear()()()
Clear the statistic model
(Inherited from StatModel.)
Dispose()()()
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Dispose(Boolean)
Release the all the memory associate with this object
(Inherited from DisposableObject.)
DisposeObject()()()
Release the random tree and all memory associate with it
(Overrides DisposableObject.DisposeObject()()().)
Equals(Object)
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.)
Load(String)
Load the statistic model from file
(Inherited from StatModel.)
MemberwiseClone()()()
Creates a shallow copy of the current Object.
(Inherited from Object.)
Predict(Matrix<(Of <(Single>)>), Matrix<(Of <(Int32>)>))
The method takes the feature vector and the optional missing measurement mask on input, traverses the random tree and returns the cumulative result from all the trees in the forest (the class that receives the majority of voices, or the mean of the regression function estimates)

Ptr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Save(String)
Save the statistic model to file
(Inherited from StatModel.)
ToString()()()
Returns a String that represents the current Object.
(Inherited from Object.)
Train(Matrix<(Of <(Single>)>), DATA_LAYOUT_TYPE, Matrix<(Of <(Single>)>), Matrix<(Of <(Int32>)>), Matrix<(Of <(Int32>)>), Matrix<(Of <(Int32>)>), Matrix<(Of <(Int32>)>), MCvRTParams)
Train the random tree using the specific traning data

Inheritance Hierarchy

Assembly: Emgu.CV.ML (Module: Emgu.CV.ML) Version: 1.0.0.0 (1.0.0.0)