Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼Ncanopy	Namespace containing the canopy library for random forest models
CcircularRegressor	Implements a random forest classifier model to predict a circular-valued output label
Cclassifier	Implements a random forest classifier model to predict a discrete output label
CdefaultParameterGenerator	A simple parameter generator functor for training forest models
CdiscreteDistribution	A distribution that defines the probabilities over a number of discrete (integer-valued) class labels
▼CrandomForestBase	Base class for random forests models from which all specific models are derived using CRTP
CderivedProxy	Proxy for the derived class
Cnode	Node structure - represents one node in a tree
CscoreInternalIndexStruct	Structure for holding information about a data sample and its feature score
Ctree	Tree structure - represents a single tree
CvonMisesDistribution	A distribution that defines the probabilities over a circular-valued label
CvonMisesKappaFunctor	A functor object to work with Eigen's non-linear solver to numerically solve for the kappa parameter of a von Mises distribution