Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

▼Nforpy
▼Nthreading
▼Ndetail
CQueue
Cthread_pool
CClassificationError	Computes the classification error as \(1-\max(p_i)\)
CClassificationForest
CClassificationLeaf	Stores the probability distributions for n_classes at a leaf
CClassificationOpt	Optimize split thresholds to optimize classification results
CClassificationTree
CDeciderDesk	Desk for decider training
CDesk	Main thread desk object
CEmpty	A struct to represent an empty variant
CEmptyException
CEntropyGain	Calculates the gain as difference of current entropy and the weighted sum of subgroup entropies
CFastClassOpt	Optimize split thresholds to optimize classification results
CFastDecider	A classifier manager for weak classifiers with a filter function, a feature calculation function and a thresholding
CFastDProv	Use the provided data plain throughout the training
CForest
CForpyException
Cget_core	Get the core datatype with removed pointer, reference and const modifiers
CIDataProvider	A data provider for the training of one tree
CIDecider	Interface for the decider. It does the optimization of the deciding classifier for each node and stores the parameters
CIEntropyFunction	Interface for an entropy calculation functor
CIGainCalculator	Interface for a gain calculator class
CILeaf	Stores and returns leaf values, and combines them to forest results
CInducedEntropy	Computes the induced p entropy
CIThreshOpt	Find an optimal threshold
CLeafDesk	Desk for leaf manager training
CMatEqVis	Comparison visitor
CName	Struct for translating primitive types to a short name
CName< double >
CName< float >
CName< int >
CName< int16_t >
CName< uint >
CName< uint8_t >
Cptr_variant
CRandomDesk	Desk for coordinating the random engines
CRegressionForest
CRegressionLeaf	Manages the leaf nodes of regression trees
CRegressionOpt	Optimize split thresholds to optimize regression results (MSE)
CRegressionTree
CRenyiEntropy	Computes the Renyi entropy
CSamplingWithoutReplacement	A lazy evaluation sampling without replacement
CShannonEntropy	Computes the classical Shannon-Entropy
CSplitOptRes
CThreadControl
CTodoMark	Stores the parameters for one marked tree node
CTree	The main tree class for the forpy framework
CTreeDesk	Desk for tree training
CTsallisEntropy	Computes the Tsallis entropy
Cvector_hasher	A simple vector<size_t> hasher
CVReset	Call the reset operation on a pointer variant