- c -

• C : canopy::vonMisesDistribution
• C_DEFAULT_BAGGING_PROPORTION : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• C_DEFAULT_MIN_INFO_GAIN : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• C_DEFAULT_MIN_TRAINING_DATA : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• C_NUM_SPLIT_TRIALS : canopy::circularRegressor< TNumParams >
• class_names : canopy::classifier< TNumParams >
• cos_precalc : canopy::circularRegressor< TNumParams >

- f -

• feature_header : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• feature_string : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• fit_split_nodes : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• forest : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- i -

• id : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
• is_leaf : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node

- k -

• kappa : canopy::vonMisesDistribution

- m -

• min_info_gain : canopy::circularRegressor< TNumParams > , canopy::classifier< TNumParams >
• mu : canopy::vonMisesDistribution

- n -

• n_classes : canopy::classifier< TNumParams > , canopy::discreteDistribution
• n_levels : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• n_nodes : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• n_trees : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
• nodes : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::tree

- p -

• params : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
• pdf_normaliser : canopy::vonMisesDistribution
• post : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
• prob : canopy::discreteDistribution

- r -

• R : canopy::vonMisesKappaFunctor
• rand_engine : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- s -

• S : canopy::vonMisesDistribution
• score : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
• sin_precalc : canopy::circularRegressor< TNumParams >

- t -

• thresh : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node

- u -

• uni_dist : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- v -

• valid : canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >

- x -

• xlogx_precalc : canopy::classifier< TNumParams >