|
Class Summary |
| BipartitionLossFunctionBase |
Base class for bipartition loss functions |
| ErrorSetSize |
Implementation of the ErrorSetSize loss function, which computes the size of
the error set. |
| HammingLoss |
Implementation of the hamming loss function. |
| HierarchicalLoss |
Implementation of the hierarchical loss function. |
| IsError |
Implementation of the IsError loss function, which is simply the indicator
of whether the induced ranking is perfect or not. |
| OneError |
Implementation of the one-error loss function. |
| OneMinusAveragePrecision |
Implementation of the average precision as loss function. |
| RankingLoss |
Implementation of the "ranking loss" ranking loss function. |
| RankingLossFunctionBase |
Base class for ranking loss functions |