Index A | B | C | D | E | F | G | I | L | M | N | P | R | S | T | U | V A accuracy() (aggmetrics.core.IndicatorMatrix method) (aggmetrics.shift.PriorShifted method) aggmetrics.aggregation module aggmetrics.core module aggmetrics.costs module aggmetrics.diagnostics module aggmetrics.inference module aggmetrics.measures module aggmetrics.multioutput module aggmetrics.pu module aggmetrics.shift module aggmetrics.sklearn_compat module aggmetrics.suites module aggmetrics.tnorms module aggregate() (in module aggmetrics.aggregation) attainable_floor() (aggmetrics.measures.BinaryMeasure method) B bayes_threshold() (aggmetrics.measures.BinaryMeasure method) BinaryMeasure (class in aggmetrics.measures) C canonical_coordinates() (aggmetrics.core.IndicatorMatrix method) cells (aggmetrics.core.IndicatorMatrix property) cells() (in module aggmetrics.aggregation) check_hull() (in module aggmetrics.diagnostics) check_ovr_skew_drift() (in module aggmetrics.diagnostics) check_redundancy() (in module aggmetrics.diagnostics) compute() (aggmetrics.core.IndicatorMatrix method) (aggmetrics.shift.PriorShifted method) cost() (aggmetrics.core.IndicatorMatrix method) counts (aggmetrics.core.IndicatorMatrix property) (aggmetrics.shift.PriorShifted property) D decomposable (aggmetrics.measures.BinaryMeasure property) degrees_of_freedom (aggmetrics.core.IndicatorMatrix property) diagnose() (in module aggmetrics.diagnostics) dominates() (aggmetrics.core.IndicatorMatrix method) E erm_consistent() (aggmetrics.measures.BinaryMeasure method) F Finding (class in aggmetrics.diagnostics) fold_aggregate() (in module aggmetrics.aggregation) G get_measure() (in module aggmetrics.measures) get_tnorm() (in module aggmetrics.tnorms) godel() (in module aggmetrics.tnorms) I IndicatorMatrix (class in aggmetrics.core) infer_properties() (in module aggmetrics.inference) InferredProperties (class in aggmetrics.inference) L list_measures() (in module aggmetrics.measures) lukasiewicz() (in module aggmetrics.tnorms) M make_scorer() (in module aggmetrics.sklearn_compat) marginal_defect() (in module aggmetrics.tnorms) MeasureWarning micro_macro_gap() (in module aggmetrics.diagnostics) module aggmetrics.aggregation aggmetrics.core aggmetrics.costs aggmetrics.diagnostics aggmetrics.inference aggmetrics.measures aggmetrics.multioutput aggmetrics.pu aggmetrics.shift aggmetrics.sklearn_compat aggmetrics.suites aggmetrics.tnorms multioutput_aggregate() (in module aggmetrics.multioutput) N n (aggmetrics.shift.PriorShifted property) P pareto_dominance() (in module aggmetrics.core) parts() (aggmetrics.core.IndicatorMatrix method) per_class() (aggmetrics.core.IndicatorMatrix method) (aggmetrics.shift.PriorShifted method) per_example() (aggmetrics.core.IndicatorMatrix method) PriorShifted (class in aggmetrics.shift) product() (in module aggmetrics.tnorms) pu_correct() (in module aggmetrics.pu) PUCorrected (class in aggmetrics.pu) R redundant (aggmetrics.suites.SuiteRank property) register_measure() (in module aggmetrics.inference) report() (aggmetrics.core.IndicatorMatrix method) S score() (in module aggmetrics.sklearn_compat) select_suite() (in module aggmetrics.suites) sigma_1() (in module aggmetrics.aggregation) sigma_k() (in module aggmetrics.aggregation) sigma_m() (in module aggmetrics.aggregation) sigma_n() (in module aggmetrics.aggregation) sklearn_average() (in module aggmetrics.sklearn_compat) subset_accuracy() (aggmetrics.core.IndicatorMatrix method) suite_jacobian() (in module aggmetrics.suites) suite_rank() (in module aggmetrics.suites) SuiteRank (class in aggmetrics.suites) SuiteSelection (class in aggmetrics.suites) T tree_cost_matrix() (in module aggmetrics.costs) U under_prior() (in module aggmetrics.shift) uniform_error_deviation() (in module aggmetrics.diagnostics) V verify_inference() (in module aggmetrics.inference)