The CvRTrees type exposes the following members.
Methods
| Name | Description | |
|---|---|---|
| AllocGCHandle |
Pins the object to be allocated by cvSetData.
(Inherited from DisposableObject.) | |
| AllocMemory |
Allocates the specified size of memory.
(Inherited from DisposableObject.) | |
| Clear |
Deallocates memory and resets the model state
(Overrides CvStatModelClear.) | |
| Dispose |
Releases the resources
(Inherited from DisposableObject.) | |
| Dispose(Boolean) |
Clean up any resources being used.
(Overrides CvStatModelDispose(Boolean).) | |
| Equals | (Inherited from Object.) | |
| Finalize |
Destructor
(Inherited from DisposableObject.) | |
| GetActiveVarMask | ||
| GetHashCode | (Inherited from Object.) | |
| GetProximity |
Retrieves proximity measure between two training samples
| |
| GetRng | ||
| GetTree | ||
| GetTreeCount | ||
| GetType | (Inherited from Object.) | |
| GetVarImportance |
Retrieves the variable importance array
| |
| Load(String) |
Loads the model from file
(Inherited from CvStatModel.) | |
| Load(String, String) |
Loads the model from file
(Inherited from CvStatModel.) | |
| MemberwiseClone | (Inherited from Object.) | |
| NotifyMemoryPressure |
Notifies the allocated size of memory.
(Inherited from DisposableObject.) | |
| Predict(CvMat, CvMat) |
Predicts the output for the input sample
| |
| Predict(Mat, Mat) |
Predicts the output for the input sample
| |
| PredictProb(CvMat, CvMat) |
Predicts the output for the input sample
| |
| PredictProb(Mat, Mat) |
Predicts the output for the input sample
| |
| Read |
Reads the model from file storage
(Overrides CvStatModelRead(CvFileStorage, CvFileNode).) | |
| Save(String) |
Saves the model to file
(Inherited from CvStatModel.) | |
| Save(String, String) |
Saves the model to file
(Inherited from CvStatModel.) | |
| ThrowIfDisposed |
If this object is disposed, then ObjectDisposedException is thrown.
(Inherited from DisposableObject.) | |
| ToString | (Inherited from Object.) | |
| Train(CvMat, DTreeDataLayout, CvMat, CvMat, CvMat, CvMat, CvMat, CvRTParams) |
Trains Random Trees model
| |
| Train(Mat, DTreeDataLayout, Mat, Mat, Mat, Mat, Mat, CvRTParams) |
Trains Random Trees model
| |
| Write |
Writes the model to file storage
(Overrides CvStatModelWrite(CvFileStorage, String).) |
See Also