| base_learner_builder | VW::LEARNER::learner< T, E > | friend |
| common_learner_builder | VW::LEARNER::learner< T, E > | friend |
| end_examples() | VW::LEARNER::learner< T, E > | inline |
| end_fptr_type typedef | VW::LEARNER::learner< T, E > | |
| end_pass() | VW::LEARNER::learner< T, E > | inline |
| finish() | VW::LEARNER::learner< T, E > | inline |
| finish_example(VW::workspace &all, E &ec) | VW::LEARNER::learner< T, E > | inline |
| finish_fptr_type typedef | VW::LEARNER::learner< T, E > | |
| get_enabled_reductions(std::vector< std::string > &enabled_reductions) const | VW::LEARNER::learner< T, E > | inline |
| get_input_label_type() | VW::LEARNER::learner< T, E > | inline |
| get_input_prediction_type() | VW::LEARNER::learner< T, E > | inline |
| get_internal_type_erased_data_pointer_test_use_only() | VW::LEARNER::learner< T, E > | inline |
| get_learner_by_name_prefix(const std::string &reduction_name) | VW::LEARNER::learner< T, E > | inline |
| get_name() | VW::LEARNER::learner< T, E > | inline |
| get_output_label_type() | VW::LEARNER::learner< T, E > | inline |
| get_output_prediction_type() | VW::LEARNER::learner< T, E > | inline |
| increment | VW::LEARNER::learner< T, E > | |
| init_driver() | VW::LEARNER::learner< T, E > | inline |
| is_multiline() | VW::LEARNER::learner< T, E > | inline |
| learn(E &ec, size_t i=0) | VW::LEARNER::learner< T, E > | inline |
| learn_returns_prediction | VW::LEARNER::learner< T, E > | |
| multipredict(E &ec, size_t lo, size_t count, polyprediction *pred, bool finalize_predictions) | VW::LEARNER::learner< T, E > | inline |
| persist_metrics(metric_sink &metrics) | VW::LEARNER::learner< T, E > | inline |
| predict(E &ec, size_t i=0) | VW::LEARNER::learner< T, E > | inline |
| print_example(VW::workspace &all, E &ec) | VW::LEARNER::learner< T, E > | inline |
| reduction_learner_builder | VW::LEARNER::learner< T, E > | friend |
| reduction_no_data_learner_builder | VW::LEARNER::learner< T, E > | friend |
| save_load(io_buf &io, const bool read, const bool text) | VW::LEARNER::learner< T, E > | inline |
| sensitivity(example &ec, size_t i=0) | VW::LEARNER::learner< T, E > | inline |
| update(E &ec, size_t i=0) | VW::LEARNER::learner< T, E > | inline |
| weights | VW::LEARNER::learner< T, E > | |
