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forpy
2
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| ▼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 |