RTrees Methods

Pins the object to be allocated by cvSetData.

Allocates the specified size of memory.

Computes error on the training or test dataset

Creates the empty model.

Releases the resources

Releases the resources

Releases managed resources

releases unmanaged resources

(Inherited from StatModel.)

Determines whether the specified object is equal to the current object.

Destructor

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.

Serves as the default hash function.

Returns all the nodes. all the node indices are indices in the returned vector

Returns indices of root nodes

Returns all the splits. all the split indices are indices in the returned vector

Returns all the bitsets for categorical splits. Split::subsetOfs is an offset in the returned vector

Gets the Type of the current instance.

Returns the number of variables in training samples

Returns the variable importance array. The method returns the variable importance vector, computed at the training stage when CalculateVarImportance is set to true. If this flag was set to false, the empty matrix is returned.

Returns true if the model is classifier

Returns true if the model is trained

Loads and creates a serialized model from a file.

Loads algorithm from a String.

Creates a shallow copy of the current Object.

Notifies the allocated size of memory.

Predicts response(s) for the provided sample(s)

Reads algorithm parameters from a file storage

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage fs).

If this object is disposed, then ObjectDisposedException is thrown.

Returns a string that represents the current object.

Trains the statistical model

Trains the statistical model

Stores algorithm parameters in a file storage