| supremumR1(GeneralizedValidatedVector) |  | 0% | | 0% | 11 | 11 | 32 | 32 | 1 | 1 |
| supremumRd(GeneralizedValidatedVector) | | 0% | | 0% | 11 | 11 | 32 | 32 | 1 | 1 |
| EmpiricalPenaltySupremumEstimator(int, EmpiricalLearningMetricEstimator, GeneralizedValidatedVector, R1R1, RdR1) | | 0% | | 0% | 8 | 8 | 27 | 27 | 1 | 1 |
| evaluate(double[][]) | | 0% | | 0% | 3 | 3 | 7 | 7 | 1 | 1 |
| supremumRdToR1(double[][]) | | 0% | | n/a | 1 | 1 | 8 | 8 | 1 | 1 |
| supremumR1ToR1(double[]) | | 0% | | n/a | 1 | 1 | 8 | 8 | 1 | 1 |
| evaluate(double[]) | | 0% | | 0% | 2 | 2 | 5 | 5 | 1 | 1 |
| supremum(GeneralizedValidatedVector) | | 0% | | 0% | 2 | 2 | 2 | 2 | 1 | 1 |
| targetVariateVarianceBound(int) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| supremumPenaltyLossMode() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| elme() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| empiricalOutcomes() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| dimension() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |