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Vowpal Wabbit
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#include <example.h>
| CB::label polylabel::cb |
Definition at line 31 of file example.h.
Referenced by CCB::attach_label_to_example(), CCB::create_cb_labels(), Search::cs_cost_push_back(), Search::cs_costs_erase(), Search::cs_costs_resize(), Search::cs_get_cost_index(), Search::cs_get_cost_partial_prediction(), Search::cs_get_costs_size(), Search::cs_set_cost_loss(), CCB::delete_cb_labels(), EXPLORE_EVAL::do_actual_learning(), CB::ec_is_example_header(), CB_ALGS::finish_example(), CB_EXPLORE::finish_example(), GEN_CS::gen_cs_example_dm(), Search::generate_training_example(), CB_ALGS::get_cost_pred(), EXPLORE_EVAL::output_example(), CB_ADF::output_example(), CB_ADF::output_rank_example(), VW::cb_explore_adf::cb_explore_adf_base< ExploreType >::predict(), CB_ALGS::predict_or_learn(), MWT::predict_or_learn(), predict_or_learn(), CB_EXPLORE::predict_or_learn_cover(), CB_EXPLORE::predict_or_learn_first(), CB_EXPLORE::print_update_cb_explore(), MultiState< audit >::StartArray(), Search::train_single_example(), and Search::search::~search().
| CB_EVAL::label polylabel::cb_eval |
Definition at line 33 of file example.h.
Referenced by CB_ALGS::eval_finish_example(), and CB_ALGS::learn_eval().
| CCB::label polylabel::conditional_contextual_bandit |
Definition at line 32 of file example.h.
Referenced by CCB::build_cb_example(), CCB::ec_is_example_header(), DefaultState< audit >::EndObject(), MultiState< audit >::StartArray(), MultiState< audit >::StartObject(), and SlotsState< audit >::StartObject().
| COST_SENSITIVE::label polylabel::cs |
Definition at line 30 of file example.h.
Referenced by Search::add_example_conditioning(), Search::advance_from_known_actions(), Search::cs_cost_push_back(), Search::cs_costs_erase(), Search::cs_costs_resize(), Search::cs_get_cost_index(), Search::cs_get_cost_partial_prediction(), Search::cs_get_costs_size(), Search::cs_set_cost_loss(), CSOAA::do_actual_learning_oaa(), CSOAA::do_actual_learning_wap(), COST_SENSITIVE::ec_is_example_header(), CSOAA::ec_is_label_definition(), GraphTask::example_is_edge(), GraphTask::example_is_test(), COST_SENSITIVE::example_is_test(), Search::generate_training_example(), EntityRelationTask::initialize(), DepParserTask::initialize(), SequenceTask_DemoLDF::initialize(), learn_sup_adf(), CSOAA::make_single_prediction(), COST_SENSITIVE::output_example(), output_example(), CSOAA::output_example(), CSOAA::output_rank_example(), EntityRelationTask::predict_entity(), CSOAA::predict_or_learn(), predict_or_learn(), predict_or_learn_adf(), predict_or_learn_bandit_adf(), CB_EXPLORE::predict_or_learn_cover(), EntityRelationTask::predict_relation(), CSOAA::process_label(), SequenceTask_DemoLDF::run(), Search::search_predict(), Search::single_prediction_LDF(), Search::single_prediction_notLDF(), Search::train_single_example(), and Search::search::~search().
| no_label::no_label polylabel::empty |
| MULTICLASS::label_t polylabel::multi |
Definition at line 29 of file example.h.
Referenced by memory_tree_ns::copy_example_data(), MULTICLASS::direct_print_update(), ect_train(), recall_tree_ns::find(), recall_tree_ns::find_or_create(), MULTICLASS::finish_example(), finish_example_scores(), recall_tree_ns::is_candidate(), learn(), recall_tree_ns::learn(), memory_tree_ns::learn_at_leaf_random(), learn_randomized(), learn_sup_adf(), Search::mc_label_is_test(), recall_tree_ns::oas_predict(), predict(), memory_tree_ns::predict(), EntityRelationTask::predict_entity(), recall_tree_ns::predict_from(), CLASSWEIGHTS::predict_or_learn(), predict_or_learn(), predict_or_learn_adf(), predict_or_learn_bandit_adf(), EntityRelationTask::predict_relation(), MULTICLASS::print_label_pred(), MULTICLASS::print_probability(), MULTICLASS::print_score(), memory_tree_ns::return_reward_from_node(), memory_tree_ns::route_to_leaf(), memory_tree_ns::save_load_example(), memory_tree_ns::single_query_and_learn(), recall_tree_ns::train_node(), and memory_tree_ns::train_node().
| MULTILABEL::labels polylabel::multilabels |
Definition at line 34 of file example.h.
Referenced by memory_tree_ns::compute_hamming_loss_via_oas(), memory_tree_ns::copy_example_data(), memory_tree_ns::F1_score_for_two_examples(), memory_tree_ns::get_overlap_from_two_examples(), MULTILABEL::output_example(), memory_tree_ns::predict(), predict_or_learn(), MULTILABEL::print_update(), memory_tree_ns::return_reward_from_node(), memory_tree_ns::route_to_leaf(), memory_tree_ns::save_load_example(), memory_tree_ns::single_query_and_learn(), memory_tree_ns::train_node(), and memory_tree_ns::train_one_against_some_at_leaf().
| label_data polylabel::simple |
Definition at line 28 of file example.h.
Referenced by VW::add_label(), bs_predict_mean(), bs_predict_vote(), MARGINAL::compute_expert_loss(), memory_tree_ns::compute_hamming_loss_via_oas(), GD::compute_update(), CSOAA::do_actual_learning_wap(), dot_with_direction(), ect_predict(), ect_train(), LabelObjectState< audit >::EndObject(), example_is_test(), finish_setup(), flatten_example(), LabelObjectState< audit >::Float(), LabelState< audit >::Float(), CB_ALGS::get_cost_pred(), VW::cb_explore_adf::regcb::cb_explore_adf_regcb::get_cost_ranges(), VW::get_initial(), VW::get_label(), GD::get_pred_per_update(), SVRG::gradient_scalar(), SVRG::inline_predict(), GD::inline_predict(), CSOAA::inner_loop(), inner_loop(), learn(), recall_tree_ns::learn(), GD::learn(), memory_tree_ns::learn_at_leaf_random(), learn_randomized(), MARGINAL::make_marginal(), CSOAA::make_single_prediction(), mf_predict(), mf_train(), multipredict(), GD::multipredict(), recall_tree_ns::oas_predict(), output_and_account_confidence_example(), output_and_account_example(), output_example(), memory_tree_ns::pick_nearest(), predict(), memory_tree_ns::predict(), predict_and_gradient(), recall_tree_ns::predict_from(), CLASSWEIGHTS::predict_or_learn(), CSOAA::predict_or_learn(), predict_or_learn(), predict_or_learn_active(), predict_or_learn_active_cover(), predict_or_learn_adaptive(), predict_or_learn_logistic(), predict_or_learn_multi(), predict_or_learn_simulation(), predict_or_learn_with_confidence(), print_update(), process_example(), receive_result(), memory_tree_ns::return_reward_from_node(), memory_tree_ns::route_to_leaf(), sensitivity(), memory_tree_ns::single_query_and_learn(), train(), train_node(), recall_tree_ns::train_node(), memory_tree_ns::train_node(), memory_tree_ns::train_one_against_some_at_leaf(), GD::trunc_predict(), LabelState< audit >::Uint(), update(), update_after_prediction_cb(), update_after_prediction_pistol(), update_after_prediction_proximal(), MARGINAL::update_marginal(), and update_preconditioner().
1.8.13