Create an extreme Random tree

Clear the statistic model

The dispose function that implements IDisposable interface

Release the extreme random tree and all memory associate with it

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

Destructor

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Load the statistic model from file

Creates a shallow copy of the current Object.

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)

Release the managed resouces. 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

Save the statistic model to file

Returns a String that represents the current Object.

Train the random tree using the specific traning data

A pointer to the unmanaged object

Pointer to the unmanaged object

Get the number of Trees in the Random tree

Get the variable importance matrix