StatModel Methods |
The StatModel 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.) |
 | CalcError |
Computes error on the training or test dataset
|
| Dispose |
Releases the resources
(Inherited from DisposableObject.) |
| DisposeManaged |
Releases managed resources
(Inherited from DisposableObject.) |
| DisposeUnmanaged |
releases unmanaged resources
(Inherited from DisposableCvObject.) |
| Empty | |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Finalize |
Destructor
(Inherited from DisposableObject.) |
| GetDefaultName |
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object
is saved to a file or string.
(Inherited from Algorithm.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| GetVarCount |
Returns the number of variables in training samples
|
| IsClassifier |
Returns true if the model is classifier
|
| IsTrained |
Returns true if the model is trained
|
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| NotifyMemoryPressure |
Notifies the allocated size of memory.
(Inherited from DisposableObject.) |
| Predict |
Predicts response(s) for the provided sample(s)
|
| Read |
Reads algorithm parameters from a file storage
(Inherited from Algorithm.) |
| Save |
Saves the algorithm to a file.
In order to make this method work, the derived class must
implement Algorithm::write(FileStorage fs).
(Inherited from Algorithm.) |
| ThrowIfDisposed |
If this object is disposed, then ObjectDisposedException is thrown.
(Inherited from DisposableObject.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Train(TrainData, Int32) |
Trains the statistical model
|
| Train(InputArray, SampleTypes, InputArray) |
Trains the statistical model
|
| Write |
Stores algorithm parameters in a file storage
(Inherited from Algorithm.) |
See Also