forpy 2

### - s -

- sample_available() : forpy::SamplingWithoutReplacement< T >
- SamplingWithoutReplacement() : forpy::SamplingWithoutReplacement< T >
- save() : forpy::Forest , forpy::Tree
- serialize() : forpy::ClassificationError , forpy::ClassificationForest , forpy::ClassificationLeaf , forpy::ClassificationOpt , forpy::ClassificationTree , forpy::Empty , forpy::EntropyGain , forpy::FastClassOpt , forpy::FastDecider , forpy::Forest , forpy::IDataProvider , forpy::IDecider , forpy::IEntropyFunction , forpy::IGainCalculator , forpy::ILeaf , forpy::InducedEntropy , forpy::IThreshOpt , forpy::RegressionForest , forpy::RegressionLeaf , forpy::RegressionOpt , forpy::RegressionTree , forpy::RenyiEntropy , forpy::SamplingWithoutReplacement< T > , forpy::ShannonEntropy , forpy::TodoMark , forpy::Tree , forpy::TsallisEntropy
- set_annotations() : forpy::FastDProv , forpy::IDataProvider
- set_data_dim() : forpy::FastDecider , forpy::IDecider
- set_num() : forpy::ThreadControl
- set_params() : forpy::ClassificationForest , forpy::ClassificationTree , forpy::RegressionForest , forpy::RegressionTree
- set_thread() : forpy::threading::thread_pool
- set_tree_weights() : forpy::Forest
- set_weight() : forpy::Tree
- setup() : forpy::DeciderDesk , forpy::Desk , forpy::LeafDesk , forpy::RandomDesk , forpy::TreeDesk
- ShannonEntropy() : forpy::ShannonEntropy
- size() : forpy::threading::thread_pool
- stop() : forpy::ThreadControl , forpy::threading::thread_pool
- supports_weights() : forpy::FastDecider , forpy::IDecider , forpy::IThreshOpt