- b -

• bestSplit() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >

- c -

• circularRegressor() : canopy::circularRegressor< TNumParams >
• classifier() : canopy::classifier< TNumParams >
• cleanupPrecalculations() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• combineWith() : canopy::discreteDistribution , canopy::vonMisesDistribution

- d -

• defaultParameterGenerator() : canopy::defaultParameterGenerator< TNumParams >
• df() : canopy::vonMisesKappaFunctor
• discreteDistribution() : canopy::discreteDistribution

- e -

• entropy() : canopy::vonMisesDistribution

- f -

• fastDiscreteEntropy() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• fastDiscreteEntropySplit() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• findLeafSingle() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• findLeavesGroupwise() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• fit() : canopy::discreteDistribution , canopy::vonMisesDistribution

- g -

• getClassNames() : canopy::classifier< TNumParams >
• getFeatureDefinitionString() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• getKappa() : canopy::vonMisesDistribution
• getMu() : canopy::vonMisesDistribution
• getNumberClasses() : canopy::classifier< TNumParams >

- i -

• initialise() : canopy::discreteDistribution , canopy::vonMisesDistribution
• initialiseNodeDist() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• isValid() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- m -

• minInfoGain() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >

- n -

• node() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
• normalise() : canopy::discreteDistribution , canopy::vonMisesDistribution

- o -

• operator()() : canopy::defaultParameterGenerator< TNumParams > , canopy::vonMisesKappaFunctor

- p -

• pdf() : canopy::discreteDistribution , canopy::vonMisesDistribution
• preCalculateXlogX() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• predictDistGroupwise() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• predictDistSingle() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• printHeaderData() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• printHeaderDescription() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• printOut() : canopy::discreteDistribution , canopy::vonMisesDistribution
• probabilityGroupwise() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• probabilityGroupwiseBase() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• probabilitySingle() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• probabilitySingleBase() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- r -

• raiseDistributionTemperature() : canopy::discreteDistribution
• raiseNodeTemperature() : canopy::classifier< TNumParams >
• randomForestBase() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• readFromFile() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• readHeader() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• readIn() : canopy::discreteDistribution , canopy::vonMisesDistribution
• reset() : canopy::discreteDistribution , canopy::vonMisesDistribution

- s -

• scoreInternalIndexStruct() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
• setClassNames() : canopy::classifier< TNumParams >
• setFeatureDefinitionString() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• singleNodeImpurity() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >

- t -

• train() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• trainingPrecalculations() : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >

- v -

• vonMisesDistribution() : canopy::vonMisesDistribution
• vonMisesKappaFunctor() : canopy::vonMisesKappaFunctor

- w -

• writeToFile() : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >