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The DTree type exposes the following members.

Constructors

  NameDescription
Public methodDTree
Create a default decision tree

Methods

  NameDescription
Public methodClear
Clear the statistic model
(Inherited from StatModel.)
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release the decision tree and all the memory associate with it
(Overrides DisposableObject..::..DisposeObject()()()().)
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetType
Gets the type of the current instance.
(Inherited from Object.)
Public methodLoad
Load the statistic model from file
(Inherited from StatModel.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodPredict
The method takes the feature vector and the optional missing measurement mask on input, traverses the decision tree and returns the reached leaf node on output. The prediction result, either the class label or the estimated function value, may be retrieved as value field of the CvDTreeNode structure
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 methodSave
Save the statistic model to file
(Inherited from StatModel.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTrain(Matrix<(Of <<'(Single>)>>), DATA_LAYOUT_TYPE, Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), MCvDTreeParams)
Train the decision tree using the specific traning data
Public methodTrain(Matrix<(Of <<'(Single>)>>), DATA_LAYOUT_TYPE, Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), MCvDTreeParams)
Train the decision tree using the specific traning data
Public methodTrain(Matrix<(Of <<'(Single>)>>), DATA_LAYOUT_TYPE, Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Int32>)>>), Matrix<(Of <<'(Int32>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), MCvDTreeParams)
Train the decision tree using the specific traning data

Fields

  NameDescription
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)

Properties

  NameDescription
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)

See Also