| 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 |