forpy  2
forpy::RegressionTree Member List

This is the complete list of members for forpy::RegressionTree, including all inherited members.

cereal::access classforpy::RegressionTreefriend
combine_leaf_results(const std::vector< Data< Mat >> &leaf_results, const Vec< float > &weights=Vec< float >(), const bool &predict_proba=false) constforpy::Treeinline
DFS(const IDataProvider *data_provider, const ECompletionLevel &completion, Desk *d)forpy::Tree
DFS_and_store(Desk *d, TodoMark &mark, const IDataProvider *dprov, const ECompletionLevel &comp)forpy::Tree
disable_fast_prediction()forpy::Treeinline
DISALLOW_COPY_AND_ASSIGN(RegressionTree)forpy::RegressionTreeprivate
enable_fast_prediction()forpy::Tree
fit(const Data< MatCRef > &data_v, const Data< MatCRef > &annotation_v, const size_t &n_threads, const bool &complete_dfs=true, const std::vector< float > &weights=std::vector< float >())forpy::Tree
fit_dprov(std::shared_ptr< IDataProvider > data_provider, const bool &complete_dfs=true)forpy::Tree
get_decider() constforpy::Treeinline
get_depth() constforpy::Tree
get_input_data_dimensions() constforpy::Treeinline
get_leaf_manager() constforpy::Treeinline
get_n_nodes() constforpy::Treeinline
get_params(const bool &=false) constforpy::RegressionTreeinline
get_samples_stored() constforpy::Treeinline
get_tree() constforpy::Treeinline
get_weight() constforpy::Treeinline
is_initialized() constforpy::Treeinline
make_node(const IDataProvider *data_provider, Desk *d)forpy::Tree
operator<<(std::ostream &stream, const RegressionTree &self)forpy::RegressionTreefriend
operator==(Tree const &rhs) constforpy::Tree
parallel_DFS(Desk *d, TodoMark &mark, IDataProvider *data_provider, const bool &finalize=true)forpy::Tree
paramsforpy::RegressionTreeprivate
predict(const Data< MatCRef > &data_v, const int &num_threads=1, const bool &use_fast_prediction_if_available=true, const bool &predict_proba=false, const bool &for_forest=false)forpy::Tree
predict_leaf(const Data< MatCRef > &data, const id_t &start_node=0, const std::function< void(void *)> &dptf=nullptr) constforpy::Tree
predict_leaf_result(const Data< MatCRef > &data, const id_t &start_node=0, const std::function< void(void *)> &dptf=nullptr) constforpy::Treeinline
predict_proba(const Data< MatCRef > &data_v, const int &num_threads=1, const bool &use_fast_prediction_if_available=true)forpy::Tree
RegressionTree(const std::string &filename)forpy::RegressionTreeinline
RegressionTree(const uint &max_depth=std::numeric_limits< uint >::max(), const uint &min_samples_at_leaf=1, const uint &min_samples_at_node=2, const uint &n_valid_features_to_use=0, const bool &autoscale_valid_features=false, const uint &random_seed=1, const size_t &n_thresholds=0, const float &gain_threshold=1E-7f, const bool &store_variance=false, const bool &summarize=false)forpy::RegressionTree
save(const std::string &filename) constforpy::Tree
serialize(Archive &ar, const uint &)forpy::RegressionTreeinlineprivate
set_params(const std::unordered_map< std::string, mu::variant< uint, size_t, float, bool >> &params)forpy::RegressionTreeinline
set_weight(const float &new_weight)forpy::Treeinline
Tree(const uint &max_depth=std::numeric_limits< uint >::max(), const uint &min_samples_at_leaf=1, const uint &min_samples_at_node=2, const std::shared_ptr< IDecider > &decider=nullptr, const std::shared_ptr< ILeaf > &leaf_manager=nullptr, const uint &random_seed=1)forpy::Tree
Tree(std::string filename)forpy::Tree