Boost Tree
| All Members | Constructors | Methods | Properties | Fields | |
| Icon | Member | Description |
|---|---|---|
| Boost()()() |
Create a default Boost classifier
| |
| _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 Boost classifier 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 <(Int32>)>), Matrix<(Of <(Single>)>), MCvSlice, Boolean) |
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()()() | (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>)>), MCvBoostParams, Boolean) |
Train the boost tree using the specific traning data
|