| Interface | Description |
|---|---|
| IMultilabelMeasure | Interface for measures dealing with multilabel data. |
| Class | Description |
|---|---|
| ADecomposableMultilabelMeasure | |
| AutoMekaGGPFitness | |
| AutoMEKAGGPFitnessMeasure | Fitness function for a linear combination of 4 well-known multi-label metrics: ExactMatch, Hamming, Rank and F1MacroAverageL. |
| AutoMEKAGGPFitnessMeasureLoss | Measure combining exact match, hamming loss, f1macroavgL and rankloss. |
| ExactMatchAccuracy | Computes the exact match of the predicted multi label vector and the expected. |
| ExactMatchLoss | |
| F1MacroAverageL | |
| F1MacroAverageLLoss | Compute the inverted F1 measure macro averaged by label. |
| HammingAccuracy | Measure for computing how similar two double vectors are according to hamming distance. |
| HammingLoss | |
| InstanceWiseF1 | Instance-wise F1 measure for multi-label classifiers. |
| InstanceWiseF1AsLoss | The F1 Macro Averaged by the number of instances measure. |
| JaccardLoss | |
| JaccardScore | |
| RankLoss | |
| RankScore |
| Enum | Description |
|---|---|
| EMultilabelPerformanceMeasure |
