Vowpal Wabbit
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#include <example.h>
Public Attributes | |
float | scalar |
v_array< float > | scalars |
ACTION_SCORE::action_scores | a_s |
CCB::decision_scores_t | decision_scores |
uint32_t | multiclass |
MULTILABEL::labels | multilabels |
float | prob |
ACTION_SCORE::action_scores polyprediction::a_s |
Definition at line 47 of file example.h.
Referenced by CCB::build_cb_example(), CSOAA::do_actual_learning(), VW::get_action_score(), VW::get_action_score_length(), EXPLORE_EVAL::output_example(), CB_EXPLORE::output_example(), CB_ADF::output_example(), CB_ADF::output_rank_example(), CSOAA::output_rank_example(), predict_or_learn(), CB_EXPLORE::predict_or_learn_bag(), CB_EXPLORE::predict_or_learn_cover(), CB_EXPLORE::predict_or_learn_first(), CB_EXPLORE::predict_or_learn_greedy(), CB::print_update(), COST_SENSITIVE::print_update(), CCB::save_action_scores(), and CB_ADF::cb_adf::update_statistics().
CCB::decision_scores_t polyprediction::decision_scores |
uint32_t polyprediction::multiclass |
Definition at line 49 of file example.h.
Referenced by MULTICLASS::finish_example(), MWT::finish_example(), GEN_CS::gen_cs_example_dm(), VW::get_cost_sensitive_prediction(), CB_EXPLORE::get_cover_probabilities(), learn(), recall_tree_ns::learn(), learn_randomized(), recall_tree_ns::oas_predict(), CB_ALGS::output_example(), COST_SENSITIVE::output_example(), output_example(), CSOAA::output_example(), predict(), recall_tree_ns::predict(), memory_tree_ns::predict(), recall_tree_ns::predict_from(), CSOAA::predict_or_learn(), MWT::predict_or_learn(), predict_or_learn(), predict_or_learn_adf(), CB_EXPLORE::predict_or_learn_bag(), predict_or_learn_bandit_adf(), CB_EXPLORE::predict_or_learn_first(), CB_EXPLORE::predict_or_learn_greedy(), MULTICLASS::print_update(), CB::print_update(), memory_tree_ns::return_reward_from_node(), memory_tree_ns::route_to_leaf(), Search::single_prediction_notLDF(), recall_tree_ns::train_node(), and memory_tree_ns::train_node().
MULTILABEL::labels polyprediction::multilabels |
Definition at line 50 of file example.h.
Referenced by memory_tree_ns::compute_hamming_loss_via_oas(), VW::get_multilabel_predictions(), 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(), Search::single_prediction_notLDF(), memory_tree_ns::single_query_and_learn(), memory_tree_ns::train_node(), and memory_tree_ns::train_one_against_some_at_leaf().
float polyprediction::prob |
Definition at line 51 of file example.h.
Referenced by CSOAA::do_actual_learning(), and CSOAA::output_example().
float polyprediction::scalar |
Definition at line 45 of file example.h.
Referenced by bs_predict_mean(), bs_predict_vote(), MARGINAL::compute_expert_loss(), memory_tree_ns::compute_hamming_loss_via_oas(), GD::compute_update(), dis_test(), ect_predict(), ect_train(), find_cost_range(), CB_ALGS::get_cost_pred(), VW::cb_explore_adf::regcb::cb_explore_adf_regcb::get_cost_ranges(), GD::get_pred_per_update(), VW::get_prediction(), learn(), mf_print_audit_features(), mf_train(), multipredict(), LEARNER::learner< CB_EXPLORE::cb_explore, example >::multipredict(), GD::multipredict(), output_and_account_confidence_example(), output_and_account_example(), no_label::output_and_account_no_label_example(), output_example(), SVRG::predict(), ezexample::predict(), GD::predict(), memory_tree_ns::predict(), predict(), CSOAA::predict_or_learn(), predict_or_learn(), MARGINAL::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(), VW::autolink::prepare_example(), GD::print_audit_features(), no_label::print_no_label_update(), print_update(), process_example(), query_decision(), receive_result(), memory_tree_ns::return_reward_from_node(), memory_tree_ns::route_to_leaf(), sensitivity(), recall_tree_ns::train_node(), memory_tree_ns::train_node(), update_after_prediction_cb(), update_after_prediction_pistol(), update_after_prediction_proximal(), SVRG::update_inner(), update_preconditioner(), update_state_and_predict_cb(), update_state_and_predict_pistol(), GD::vec_add_multipredict(), and GD::vec_add_trunc_multipredict().
v_array<float> polyprediction::scalars |
Definition at line 46 of file example.h.
Referenced by MWT::finish_example(), finish_example_scores(), VW::get_cost_sensitive_prediction_confidence_scores(), VW::get_topic_prediction(), predict_or_learn(), MWT::predict_or_learn(), MULTICLASS::print_probability(), and return_example().