Index _ | A | B | C | F | G | I | L | M | P | R | S | T _ __init__() (skpref.base.ClassificationReducer method) A accuracy() (in module skpref.metrics) B BradleyTerry (class in skpref.random_utility) C ChoiceTask (class in skpref.task) ClassificationReducer (class in skpref.base) F f1_score() (in module skpref.metrics) false_negatives() (in module skpref.metrics) false_positives() (in module skpref.metrics) fit_task() (skpref.base.Model method) (skpref.model_selection.GridSearchCV method) G GridSearchCV (class in skpref.model_selection) I inspect_results() (skpref.model_selection.GridSearchCV method) L log_loss() (in module skpref.metrics) log_loss_compare_with_t_test() (in module skpref.metrics) M Model (class in skpref.base) module skpref.task, [1] P PairwiseComparisonTask (class in skpref.task) predict_choice_task() (skpref.model_selection.GridSearchCV method) (skpref.random_utility.BradleyTerry method) predict_proba_task() (skpref.model_selection.GridSearchCV method) (skpref.random_utility.BradleyTerry method) predict_task() (skpref.base.Model method) (skpref.model_selection.GridSearchCV method) R rank_entities() (skpref.model_selection.GridSearchCV method) (skpref.random_utility.BradleyTerry method) recall() (in module skpref.metrics) S skpref.task module, [1] T true_negatives() (in module skpref.metrics) true_positives() (in module skpref.metrics)