| end_examples() | LEARNER::learner< T, E > | inline |
| end_examples_fd | LEARNER::learner< T, E > | private |
| end_fptr_type typedef | LEARNER::learner< T, E > | |
| end_pass() | LEARNER::learner< T, E > | inline |
| end_pass_fd | LEARNER::learner< T, E > | private |
| finish() | LEARNER::learner< T, E > | inline |
| finish_example(vw &all, E &ec) | LEARNER::learner< T, E > | inline |
| finish_example_fd | LEARNER::learner< T, E > | private |
| finish_fptr_type typedef | LEARNER::learner< T, E > | |
| finisher_fd | LEARNER::learner< T, E > | private |
| increment | LEARNER::learner< T, E > | |
| init_driver() | LEARNER::learner< T, E > | inline |
| init_fd | LEARNER::learner< T, E > | private |
| init_learner(T *dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t ws, prediction_type::prediction_type_t pred_type) | LEARNER::learner< T, E > | inlinestatic |
| is_multiline | LEARNER::learner< T, E > | |
| learn(E &ec, size_t i=0) | LEARNER::learner< T, E > | inline |
| learn_fd | LEARNER::learner< T, E > | private |
| learner() | LEARNER::learner< T, E > | inlineprivate |
| learner_data | LEARNER::learner< T, E > | private |
| multipredict(E &ec, size_t lo, size_t count, polyprediction *pred, bool finalize_predictions) | LEARNER::learner< T, E > | inline |
| pred_type | LEARNER::learner< T, E > | |
| predict(E &ec, size_t i=0) | LEARNER::learner< T, E > | inline |
| save_load(io_buf &io, const bool read, const bool text) | LEARNER::learner< T, E > | inline |
| save_load_fd | LEARNER::learner< T, E > | private |
| sensitivity(example &ec, size_t i=0) | LEARNER::learner< T, E > | inline |
| sensitivity_fd | LEARNER::learner< T, E > | private |
| set_end_examples(void(*f)(T &)) | LEARNER::learner< T, E > | inline |
| set_end_pass(void(*f)(T &)) | LEARNER::learner< T, E > | inline |
| set_finish(void(*f)(T &)) | LEARNER::learner< T, E > | inline |
| set_finish_example(void(*f)(vw &all, T &, E &)) | LEARNER::learner< T, E > | inline |
| set_init_driver(void(*f)(T &)) | LEARNER::learner< T, E > | inline |
| set_learn(void(*u)(T &, L &, E &)) | LEARNER::learner< T, E > | inline |
| set_multipredict(void(*u)(T &, L &, E &, size_t, size_t, polyprediction *, bool)) | LEARNER::learner< T, E > | inline |
| set_predict(void(*u)(T &, L &, E &)) | LEARNER::learner< T, E > | inline |
| set_save_load(void(*sl)(T &, io_buf &, bool, bool)) | LEARNER::learner< T, E > | inline |
| set_sensitivity(float(*u)(T &data, base_learner &base, example &)) | LEARNER::learner< T, E > | inline |
| set_update(void(*u)(T &data, L &base, E &)) | LEARNER::learner< T, E > | inline |
| update(E &ec, size_t i=0) | LEARNER::learner< T, E > | inline |
| weights | LEARNER::learner< T, E > | |
