Here is a list of all class members with links to the classes they belong to:
- s -
- sample_available()
: forpy::SamplingWithoutReplacement< T >
- sample_ids
: forpy::TodoMark
- SamplingWithoutReplacement()
: forpy::SamplingWithoutReplacement< T >
- save()
: forpy::Forest
, forpy::Tree
- seed
: forpy::RandomDesk
- 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
- shannon_entropy
: forpy::RenyiEntropy
, forpy::TsallisEntropy
- ShannonEntropy()
: forpy::ShannonEntropy
, forpy::TsallisEntropy
- size()
: forpy::threading::thread_pool
- sort_perm
: forpy::DeciderDesk
- sort_perm_p
: forpy::DeciderDesk
- split_idx
: forpy::SplitOptRes< FT >
- start_id
: forpy::DeciderDesk
- stop()
: forpy::ThreadControl
, forpy::threading::thread_pool
- store_variance
: forpy::RegressionLeaf
- stored_distributions
: forpy::ClassificationLeaf
- stored_in_leafs
: forpy::Tree
, forpy::TreeDesk
- summarize
: forpy::RegressionLeaf
- supports_weights()
: forpy::FastDecider
, forpy::IDecider
, forpy::IThreshOpt