Canopy  1.0
The header-only random forests library
Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 12]
 Ccanopy::defaultParameterGenerator< TNumParams >A simple parameter generator functor for training forest models
 Ccanopy::discreteDistributionA distribution that defines the probabilities over a number of discrete (integer-valued) class labels
 Ccanopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::nodeNode structure - represents one node in a tree
 Ccanopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >Base class for random forests models from which all specific models are derived using CRTP
 Ccanopy::randomForestBase< circularRegressor< TNumParams >, float, vonMisesDistribution, vonMisesDistribution, TNumParams >
 Ccanopy::circularRegressor< TNumParams >Implements a random forest classifier model to predict a circular-valued output label
 Ccanopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
 Ccanopy::classifier< TNumParams >Implements a random forest classifier model to predict a discrete output label
 Ccanopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStructStructure for holding information about a data sample and its feature score
 CTDerived
 Ccanopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::derivedProxyProxy for the derived class
 Ccanopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::treeTree structure - represents a single tree
 Ccanopy::vonMisesDistributionA distribution that defines the probabilities over a circular-valued label
 Ccanopy::vonMisesKappaFunctorA functor object to work with Eigen's non-linear solver to numerically solve for the kappa parameter of a von Mises distribution