Canopy  1.0
The header-only random forests library
Classes
canopy Namespace Reference

Namespace containing the canopy library for random forest models. More...

Classes

class  circularRegressor
 Implements a random forest classifier model to predict a circular-valued output label. More...
 
class  classifier
 Implements a random forest classifier model to predict a discrete output label. More...
 
class  defaultParameterGenerator
 A simple parameter generator functor for training forest models. More...
 
class  discreteDistribution
 A distribution that defines the probabilities over a number of discrete (integer-valued) class labels. More...
 
class  randomForestBase
 Base class for random forests models from which all specific models are derived using CRTP. More...
 
class  vonMisesDistribution
 A distribution that defines the probabilities over a circular-valued label. More...
 
struct  vonMisesKappaFunctor
 A functor object to work with Eigen's non-linear solver to numerically solve for the kappa parameter of a von Mises distribution. More...
 

Detailed Description

Namespace containing the canopy library for random forest models.