forpy  2
forpy::RegressionForest Member List

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

cereal::access classforpy::RegressionForestfriend
disable_fast_prediction()forpy::Forestinline
DISALLOW_COPY_AND_ASSIGN(RegressionForest)forpy::RegressionForestprivate
enable_fast_prediction()forpy::Forestinline
fit(const Data< MatCRef > &data_v, const Data< MatCRef > &annotation_v, const size_t &num_threads=1, const bool &bootstrap=true, const std::vector< float > &weights=std::vector< float >())forpy::Forest
fit_dprov(const std::shared_ptr< IDataProvider > &fdata_provider, const bool &bootstrap=true)forpy::Forest
Forest(const uint &n_trees=10, 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_template=nullptr, const std::shared_ptr< ILeaf > &leaf_manager_template=nullptr, const uint &random_seed=1)forpy::Forest
Forest(std::vector< std::shared_ptr< Tree >> &trees)forpy::Forest
Forest(std::string filename)forpy::Forest
get_decider() constforpy::Forestinline
get_depths() constforpy::Forestinline
get_input_data_dimensions() constforpy::Forestinline
get_leaf_manager() constforpy::Forestinline
get_params(const bool &=false) constforpy::RegressionForestinline
get_tree_weights() constforpy::Forestinline
get_trees() constforpy::Forestinline
operator<<(std::ostream &stream, const RegressionForest &self)forpy::RegressionForestfriend
operator==(const Forest &rhs) constforpy::Forestinline
paramsforpy::RegressionForestprivate
predict(const Data< MatCRef > &data_v, const int &num_threads=1, const bool &use_fast_prediction_if_available=true, const bool &predict_proba=false)forpy::Forestinline
predict_proba(const Data< MatCRef > &data_v, const int &num_threads=1, const bool &use_fast_prediction_if_available=true)forpy::Forestinline
RegressionForest(const std::string &filename)forpy::RegressionForestinline
RegressionForest(const size_t &n_trees=10, 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::RegressionForest
save(const std::string &filename) constforpy::Forest
serialize(Archive &ar, const uint &)forpy::RegressionForestinlineprivate
set_params(const std::unordered_map< std::string, mu::variant< uint, size_t, float, bool >> &params)forpy::RegressionForestinline
set_tree_weights(const std::vector< float > &weights) constforpy::Forestinline