RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > Member List
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graph_ | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
leaf_ids(FEATURES const &features, IDS &ids, int n_threads=-1, const std::vector< size_t > tree_indices=std::vector< size_t >()) const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
merge(RandomForest const &other) | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
node_responses_ | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
num_classes() const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
num_features() const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
num_nodes() const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
num_trees() const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
options_ | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
predict(FEATURES const &features, LABELS &labels, int n_threads=-1, const std::vector< size_t > &tree_indices=std::vector< size_t >()) const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
predict_probabilities(FEATURES const &features, PROBS &probs, int n_threads=-1, const std::vector< size_t > &tree_indices=std::vector< size_t >()) const | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
problem_spec_ | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |
split_tests_ | RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | |