Here is a list of all documented class members with links to the class documentation for each member:
- b -
- 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 >
- circularRegressor()
: canopy::circularRegressor< TNumParams >
- class_names
: canopy::classifier< TNumParams >
- classifier()
: canopy::classifier< TNumParams >
- cleanupPrecalculations()
: canopy::circularRegressor< TNumParams >
, canopy::classifier< TNumParams >
- combineWith()
: canopy::discreteDistribution
, canopy::vonMisesDistribution
- cos_precalc
: canopy::circularRegressor< TNumParams >
- d -
- e -
- f -
- fastDiscreteEntropy()
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- fastDiscreteEntropySplit()
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- feature_header
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- feature_string
: 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
- fit_split_nodes
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- forest
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- g -
- i -
- id
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
- initialise()
: canopy::discreteDistribution
, canopy::vonMisesDistribution
- initialiseNodeDist()
: canopy::circularRegressor< TNumParams >
, canopy::classifier< TNumParams >
- is_leaf
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
- isValid()
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- k -
- m -
- 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 >
- node()
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
- nodes
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::tree
- normalise()
: canopy::discreteDistribution
, canopy::vonMisesDistribution
- o -
- p -
- params
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
- pdf()
: canopy::discreteDistribution
, canopy::vonMisesDistribution
- pdf_normaliser
: canopy::vonMisesDistribution
- post
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::node
- 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
- prob
: canopy::discreteDistribution
- 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 -
- R
: canopy::vonMisesKappaFunctor
- raiseDistributionTemperature()
: canopy::discreteDistribution
- raiseNodeTemperature()
: canopy::classifier< TNumParams >
- rand_engine
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, 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 -
- S
: canopy::vonMisesDistribution
- score
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
- scoreInternalIndexStruct
: canopy::circularRegressor< TNumParams >
, canopy::classifier< TNumParams >
, canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >::scoreInternalIndexStruct
- setClassNames()
: canopy::classifier< TNumParams >
- setFeatureDefinitionString()
: canopy::randomForestBase< TDerived, TLabel, TNodeDist, TOutputDist, TNumParams >
- sin_precalc
: canopy::circularRegressor< TNumParams >
- singleNodeImpurity()
: canopy::circularRegressor< TNumParams >
, canopy::classifier< TNumParams >
- t -
- u -
- v -
- w -
- x -