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forpy
2
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| Cforpy::DeciderDesk | Desk for decider training |
| Cforpy::Desk | Main thread desk object |
| Cforpy::Empty | A struct to represent an empty variant |
| ▼Cstd::exception | STL class |
| ▼Cforpy::ForpyException | |
| Cforpy::EmptyException | |
| ▼Cforpy::Forest | |
| Cforpy::ClassificationForest | |
| Cforpy::RegressionForest | |
| Cforpy::get_core< T > | Get the core datatype with removed pointer, reference and const modifiers |
| ▼Cforpy::IDataProvider | A data provider for the training of one tree |
| Cforpy::FastDProv | Use the provided data plain throughout the training |
| ▼Cforpy::IDecider | Interface for the decider. It does the optimization of the deciding classifier for each node and stores the parameters |
| Cforpy::FastDecider | A classifier manager for weak classifiers with a filter function, a feature calculation function and a thresholding |
| ▼Cforpy::IEntropyFunction | Interface for an entropy calculation functor |
| Cforpy::ClassificationError | Computes the classification error as \(1-\max(p_i)\) |
| Cforpy::InducedEntropy | Computes the induced p entropy |
| Cforpy::RenyiEntropy | Computes the Renyi entropy |
| Cforpy::ShannonEntropy | Computes the classical Shannon-Entropy |
| Cforpy::TsallisEntropy | Computes the Tsallis entropy |
| ▼Cforpy::IGainCalculator | Interface for a gain calculator class |
| Cforpy::EntropyGain | Calculates the gain as difference of current entropy and the weighted sum of subgroup entropies |
| ▼Cforpy::ILeaf | Stores and returns leaf values, and combines them to forest results |
| Cforpy::ClassificationLeaf | Stores the probability distributions for n_classes at a leaf |
| Cforpy::RegressionLeaf | Manages the leaf nodes of regression trees |
| ▼Cforpy::IThreshOpt | Find an optimal threshold |
| ▼Cforpy::ClassificationOpt | Optimize split thresholds to optimize classification results |
| Cforpy::FastClassOpt | Optimize split thresholds to optimize classification results |
| Cforpy::RegressionOpt | Optimize split thresholds to optimize regression results (MSE) |
| Cforpy::LeafDesk | Desk for leaf manager training |
| Cforpy::MatEqVis | Comparison visitor |
| Cforpy::Name< T > | Struct for translating primitive types to a short name |
| Cforpy::Name< double > | |
| Cforpy::Name< float > | |
| Cforpy::Name< int > | |
| Cforpy::Name< int16_t > | |
| Cforpy::Name< uint > | |
| Cforpy::Name< uint8_t > | |
| Cforpy::threading::detail::Queue< T > | |
| Cforpy::threading::detail::Queue< std::function< void(forpy::Desk)> *> | |
| Cforpy::RandomDesk | Desk for coordinating the random engines |
| Cforpy::SamplingWithoutReplacement< T > | A lazy evaluation sampling without replacement |
| Cforpy::SplitOptRes< FT > | |
| Cforpy::threading::thread_pool | |
| Cforpy::ThreadControl | |
| Cforpy::TodoMark | Stores the parameters for one marked tree node |
| ▼Cforpy::Tree | The main tree class for the forpy framework |
| Cforpy::ClassificationTree | |
| Cforpy::RegressionTree | |
| Cforpy::TreeDesk | Desk for tree training |
| ▼Cvariant | |
| Cforpy::ptr_variant< Ts > | |
| Cforpy::vector_hasher | A simple vector<size_t> hasher |
| Cforpy::VReset | Call the reset operation on a pointer variant |