Extreme Random tree
Namespace: Emgu.CV.MLAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.2.1.1150 (2.2.1.1150)
Syntax
Members
| All Members | Constructors  | Fields  | Properties  | Methods |
 Public Protected | Instance Static  | Declared Inherited | XNA Framework Only  .NET Compact Framework Only  |
| Member | Description | |
|---|---|---|
| ERTrees()()()() |
Create an extreme 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.) |
 | DisposeObject()()()() |
Release the extreme random tree and all memory associate with it
(Overrides RTrees..::..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)
(Inherited from RTrees.) |
| Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
| 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
(Inherited from RTrees.) |
| TreeCount |
Get the number of Trees in the Random tree
(Inherited from RTrees.) |
| VarImportance |
Get the variable importance matrix
(Inherited from RTrees.) |
Inheritance Hierarchy
System..::..Object
Emgu.Util..::..DisposableObject
Emgu.Util..::..UnmanagedObject
Emgu.CV.ML..::..StatModel
Emgu.CV.ML..::..RTrees
Emgu.CV.ML..::..ERTrees
Emgu.Util..::..DisposableObject
Emgu.Util..::..UnmanagedObject
Emgu.CV.ML..::..StatModel
Emgu.CV.ML..::..RTrees
Emgu.CV.ML..::..ERTrees
See Also
