Canopy
1.0
The header-only random forests library
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This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level
1
2
]
C
canopy::defaultParameterGenerator< TNumParams >
A simple parameter generator functor for training forest models
C
canopy::discreteDistribution
A distribution that defines the probabilities over a number of discrete (integer-valued) class labels
C
canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
Node structure - represents one node in a tree
C
canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
Base class for random forests models from which all specific models are derived using CRTP
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C
canopy::randomForestBase< circularRegressor< TNumParams >, float, vonMisesDistribution, vonMisesDistribution, TNumParams >
C
canopy::circularRegressor< TNumParams >
Implements a random forest classifier model to predict a circular-valued output label
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C
canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
C
canopy::classifier< TNumParams >
Implements a random forest classifier model to predict a discrete output label
C
canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
Structure for holding information about a data sample and its feature score
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C
TDerived
C
canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::derivedProxy
Proxy for the derived class
C
canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::tree
Tree structure - represents a single tree
C
canopy::vonMisesDistribution
A distribution that defines the probabilities over a circular-valued label
C
canopy::vonMisesKappaFunctor
A functor object to work with Eigen's non-linear solver to numerically solve for the kappa parameter of a von Mises distribution
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