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The GBTrees type exposes the following members.

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 Gradient Boosting Trees classifier and all the unmanaged 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 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)
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>)>>), MCvGBTreesParams, Boolean)
Train the gradient boost trees 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>)>>), MCvGBTreesParams, Boolean)
Train the gradient boost trees 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>)>>), MCvGBTreesParams, Boolean)
Train the gradient boost trees using the specific traning data

See Also