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- WilcoxonCompute the wilcoxon metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute wilcoxon, or asks how to score with wilcoxon.Votes: 0GitHub stars: 3
- WeightedtauCompute the weightedtau metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute weightedtau, or asks how to score with weightedtau.Votes: 0GitHub stars: 3
- WeightedmeanabsolutepercentageerrorCompute the WeightedMeanAbsolutePercentageError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute WeightedMeanAbsolutePercentageError, or asks how to score with WeightedMeanAbsolutePercentageError.Votes: 0GitHub stars: 3
- VmeasurescoreCompute the VMeasureScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute VMeasureScore, or asks how to score with VMeasureScore.Votes: 0GitHub stars: 3
- VisualinformationfidelityCompute the VisualInformationFidelity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute VisualInformationFidelity, or asks how to score with VisualInformationFidelity.Votes: 0GitHub stars: 3
- Veriequivbench EvalEvaluates an LLM's ability to generate formally verifiable code that aligns with natural language problem descriptions and passes unit tests. It probes complex algorithmic reasoning and code-specification alignment without requiring manual ground-truth specifications. Use when the user wants to benchmark on VeriEquivBench, or asks about evaluating this task. Reports equivalence_score.Votes: 0GitHub stars: 3
- V Measure ScoreCompute the v_measure_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute v_measure_score, or asks how to score with v_measure_score.Votes: 0GitHub stars: 3
- UniversalimagequalityindexCompute the UniversalImageQualityIndex metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute UniversalImageQualityIndex, or asks how to score with UniversalImageQualityIndex.Votes: 0GitHub stars: 3
- TweediedeviancescoreCompute the TweedieDevianceScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TweedieDevianceScore, or asks how to score with TweedieDevianceScore.Votes: 0GitHub stars: 3
- TschuprowstCompute the TschuprowsT metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TschuprowsT, or asks how to score with TschuprowsT.Votes: 0GitHub stars: 3
- TranslationeditrateCompute the TranslationEditRate metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TranslationEditRate, or asks how to score with TranslationEditRate.Votes: 0GitHub stars: 3
- TotalvariationCompute the TotalVariation metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TotalVariation, or asks how to score with TotalVariation.Votes: 0GitHub stars: 3
- Toqb EvalEvaluates a model's ability to perform dialogue user request summarization, specifically extracting and condensing a user's intent and key constraints from a multi-turn task-oriented conversation into a single paragraph. Use when the user wants to benchmark on ToQB (Task-oriented Queries Benchmark), or asks about evaluating this task. Reports key_slot_verification.Votes: 0GitHub stars: 3
- Top K Accuracy ScoreCompute the top_k_accuracy_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute top_k_accuracy_score, or asks how to score with top_k_accuracy_score.Votes: 0GitHub stars: 3
- TheilsuCompute the TheilsU metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute TheilsU, or asks how to score with TheilsU.Votes: 0GitHub stars: 3
- SymmetricmeanabsolutepercentageerrorCompute the SymmetricMeanAbsolutePercentageError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SymmetricMeanAbsolutePercentageError, or asks how to score with SymmetricMeanAbsolutePercentageError.Votes: 0GitHub stars: 3
- SummetricCompute the SumMetric metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SumMetric, or asks how to score with SumMetric.Votes: 0GitHub stars: 3
- StructuralsimilarityindexmeasureCompute the StructuralSimilarityIndexMeasure metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute StructuralSimilarityIndexMeasure, or asks how to score with StructuralSimilarityIndexMeasure.Votes: 0GitHub stars: 3
- StatscoresCompute the StatScores metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute StatScores, or asks how to score with StatScores.Votes: 0GitHub stars: 3
- SquadCompute the SQuAD metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SQuAD, or asks how to score with SQuAD.Votes: 0GitHub stars: 3
- SpectraldistortionindexCompute the SpectralDistortionIndex metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SpectralDistortionIndex, or asks how to score with SpectralDistortionIndex.Votes: 0GitHub stars: 3
- SpectralanglemapperCompute the SpectralAngleMapper metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SpectralAngleMapper, or asks how to score with SpectralAngleMapper.Votes: 0GitHub stars: 3
- SpecificityatsensitivityCompute the SpecificityAtSensitivity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SpecificityAtSensitivity, or asks how to score with SpecificityAtSensitivity.Votes: 0GitHub stars: 3
- SpecificityCompute the Specificity metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute Specificity, or asks how to score with Specificity.Votes: 0GitHub stars: 3