The RTrees type exposes the following methods.
Methods
 Public Protected | Instance Static | Declared Inherited | XNA Framework Only .NET Compact Framework Only |
| Member | Description | |
|---|---|---|
 | Clear()()()() |
Clear the statistic model
(Inherited from StatModel.) |
| Dispose()()()() |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
 | DisposeObject()()()() |
Release the random tree and all memory associate with it
(Overrides DisposableObject..::..DisposeObject()()()().) |
| Equals(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 <<'(Byte>)>>)) |
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)
|
| ReleaseManagedResources()()()() |
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.) |
| Save(String) |
Save the statistic model to file
(Inherited from StatModel.) |
| ToString()()()() | (Inherited from Object.) |
| Train(Matrix<(Of <<'(Single>)>>), DATA_LAYOUT_TYPE, Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), Matrix<(Of <<'(Byte>)>>), MCvRTParams) |
Train the random tree using the specific traning data
|
See Also
