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- MultilabelaverageprecisionCompute the MultilabelAveragePrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MultilabelAveragePrecision, or asks how to score with MultilabelAveragePrecision.Votes: 0GitHub stars: 3
- MultilabelaurocCompute the MultilabelAUROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MultilabelAUROC, or asks how to score with MultilabelAUROC.Votes: 0GitHub stars: 3
- MultilabelaccuracyCompute the MultilabelAccuracy metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MultilabelAccuracy, or asks how to score with MultilabelAccuracy.Votes: 0GitHub stars: 3
- MulticlassstatscoresCompute the MulticlassStatScores metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassStatScores, or asks how to score with MulticlassStatScores.Votes: 0GitHub stars: 3
- MulticlassspecificityatsensitivityCompute the MulticlassSpecificityAtSensitivity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassSpecificityAtSensitivity, or asks how to score with MulticlassSpecificityAtSensitivity.Votes: 0GitHub stars: 3
- MulticlassspecificityCompute the MulticlassSpecificity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassSpecificity, or asks how to score with MulticlassSpecificity.Votes: 0GitHub stars: 3
- MulticlasssensitivityatspecificityCompute the MulticlassSensitivityAtSpecificity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassSensitivityAtSpecificity, or asks how to score with MulticlassSensitivityAtSpecificity.Votes: 0GitHub stars: 3
- MulticlassrocCompute the MulticlassROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassROC, or asks how to score with MulticlassROC.Votes: 0GitHub stars: 3
- MulticlassrecallatfixedprecisionCompute the MulticlassRecallAtFixedPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassRecallAtFixedPrecision, or asks how to score with MulticlassRecallAtFixedPrecision.Votes: 0GitHub stars: 3
- MulticlassrecallCompute the MulticlassRecall metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassRecall, or asks how to score with MulticlassRecall.Votes: 0GitHub stars: 3
- MulticlassprecisionrecallcurveCompute the MulticlassPrecisionRecallCurve metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassPrecisionRecallCurve, or asks how to score with MulticlassPrecisionRecallCurve.Votes: 0GitHub stars: 3
- MulticlassprecisionatfixedrecallCompute the MulticlassPrecisionAtFixedRecall metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassPrecisionAtFixedRecall, or asks how to score with MulticlassPrecisionAtFixedRecall.Votes: 0GitHub stars: 3
- MulticlassprecisionCompute the MulticlassPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassPrecision, or asks how to score with MulticlassPrecision.Votes: 0GitHub stars: 3
- MulticlassnegativepredictivevalueCompute the MulticlassNegativePredictiveValue metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassNegativePredictiveValue, or asks how to score with MulticlassNegativePredictiveValue.Votes: 0GitHub stars: 3
- MulticlassmatthewscorrcoefCompute the MulticlassMatthewsCorrCoef metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassMatthewsCorrCoef, or asks how to score with MulticlassMatthewsCorrCoef.Votes: 0GitHub stars: 3
- MulticlasslogaucCompute the MulticlassLogAUC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassLogAUC, or asks how to score with MulticlassLogAUC.Votes: 0GitHub stars: 3
- MulticlassjaccardindexCompute the MulticlassJaccardIndex metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassJaccardIndex, or asks how to score with MulticlassJaccardIndex.Votes: 0GitHub stars: 3
- MulticlasshingelossCompute the MulticlassHingeLoss metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassHingeLoss, or asks how to score with MulticlassHingeLoss.Votes: 0GitHub stars: 3
- MulticlasshammingdistanceCompute the MulticlassHammingDistance metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassHammingDistance, or asks how to score with MulticlassHammingDistance.Votes: 0GitHub stars: 3
- MulticlassfbetascoreCompute the MulticlassFBetaScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassFBetaScore, or asks how to score with MulticlassFBetaScore.Votes: 0GitHub stars: 3
- Multiclassf1scoreCompute the MulticlassF1Score metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassF1Score, or asks how to score with MulticlassF1Score.Votes: 0GitHub stars: 3
- MulticlassexactmatchCompute the MulticlassExactMatch metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassExactMatch, or asks how to score with MulticlassExactMatch.Votes: 0GitHub stars: 3
- MulticlasseerCompute the MulticlassEER metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassEER, or asks how to score with MulticlassEER.Votes: 0GitHub stars: 3
- MulticlassconfusionmatrixCompute the MulticlassConfusionMatrix metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MulticlassConfusionMatrix, or asks how to score with MulticlassConfusionMatrix.Votes: 0GitHub stars: 3