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- BinaryprecisionCompute the BinaryPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryPrecision, or asks how to score with BinaryPrecision.Votes: 0GitHub stars: 3
- BinarynegativepredictivevalueCompute the BinaryNegativePredictiveValue metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryNegativePredictiveValue, or asks how to score with BinaryNegativePredictiveValue.Votes: 0GitHub stars: 3
- BinarymatthewscorrcoefCompute the BinaryMatthewsCorrCoef metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryMatthewsCorrCoef, or asks how to score with BinaryMatthewsCorrCoef.Votes: 0GitHub stars: 3
- BinarylogaucCompute the BinaryLogAUC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryLogAUC, or asks how to score with BinaryLogAUC.Votes: 0GitHub stars: 3
- BinaryjaccardindexCompute the BinaryJaccardIndex metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryJaccardIndex, or asks how to score with BinaryJaccardIndex.Votes: 0GitHub stars: 3
- BinaryhingelossCompute the BinaryHingeLoss metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryHingeLoss, or asks how to score with BinaryHingeLoss.Votes: 0GitHub stars: 3
- BinaryhammingdistanceCompute the BinaryHammingDistance metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryHammingDistance, or asks how to score with BinaryHammingDistance.Votes: 0GitHub stars: 3
- BinarygroupstatratesCompute the BinaryGroupStatRates metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryGroupStatRates, or asks how to score with BinaryGroupStatRates.Votes: 0GitHub stars: 3
- BinaryfbetascoreCompute the BinaryFBetaScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryFBetaScore, or asks how to score with BinaryFBetaScore.Votes: 0GitHub stars: 3
- BinaryfairnessCompute the BinaryFairness metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryFairness, or asks how to score with BinaryFairness.Votes: 0GitHub stars: 3
- Binaryf1scoreCompute the BinaryF1Score metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryF1Score, or asks how to score with BinaryF1Score.Votes: 0GitHub stars: 3
- BinaryeerCompute the BinaryEER metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryEER, or asks how to score with BinaryEER.Votes: 0GitHub stars: 3
- BinaryconfusionmatrixCompute the BinaryConfusionMatrix metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryConfusionMatrix, or asks how to score with BinaryConfusionMatrix.Votes: 0GitHub stars: 3
- BinarycohenkappaCompute the BinaryCohenKappa metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryCohenKappa, or asks how to score with BinaryCohenKappa.Votes: 0GitHub stars: 3
- BinarycalibrationerrorCompute the BinaryCalibrationError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryCalibrationError, or asks how to score with BinaryCalibrationError.Votes: 0GitHub stars: 3
- BinaryaverageprecisionCompute the BinaryAveragePrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryAveragePrecision, or asks how to score with BinaryAveragePrecision.Votes: 0GitHub stars: 3
- BinaryaurocCompute the BinaryAUROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryAUROC, or asks how to score with BinaryAUROC.Votes: 0GitHub stars: 3
- BinaryaccuracyCompute the BinaryAccuracy metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BinaryAccuracy, or asks how to score with BinaryAccuracy.Votes: 0GitHub stars: 3
- Biasasker EvalMeasures social bias in conversational AI systems by generating targeted questions that trigger absolute and relative biases, then evaluating model responses for biased content and discriminatory preferences across social groups. Use when the user wants to benchmark on BiasAsker dataset, or asks about evaluating this task. Reports absolute bias rate.Votes: 0GitHub stars: 3
- BertscoreCompute the BERTScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute BERTScore, or asks how to score with BERTScore.Votes: 0GitHub stars: 3
- AverageprecisionCompute the AveragePrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute AveragePrecision, or asks how to score with AveragePrecision.Votes: 0GitHub stars: 3
- Average Precision ScoreCompute the average_precision_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute average_precision_score, or asks how to score with average_precision_score.Votes: 0GitHub stars: 3
- AurocCompute the AUROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute AUROC, or asks how to score with AUROC.Votes: 0GitHub stars: 3
- Arkts Codesearch EvalEvaluates code embedding models on a semantic code retrieval task where the goal is to find the correct ArkTS function given a natural language docstring or comment. It probes the model's ability to align bilingual documentation with declarative UI and distributed application code semantics. Use when the user wants to benchmark on ArkTS-CodeSearch, or asks about evaluating this task. Reports MRR.Votes: 0GitHub stars: 3