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- RetrievalprecisionCompute the RetrievalPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalPrecision, or asks how to score with RetrievalPrecision.Votes: 0GitHub stars: 3
- RetrievalnormalizeddcgCompute the RetrievalNormalizedDCG metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalNormalizedDCG, or asks how to score with RetrievalNormalizedDCG.Votes: 0GitHub stars: 3
- RetrievalmrrCompute the RetrievalMRR metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalMRR, or asks how to score with RetrievalMRR.Votes: 0GitHub stars: 3
- RetrievalmapCompute the RetrievalMAP metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalMAP, or asks how to score with RetrievalMAP.Votes: 0GitHub stars: 3
- RetrievalhitrateCompute the RetrievalHitRate metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalHitRate, or asks how to score with RetrievalHitRate.Votes: 0GitHub stars: 3
- RetrievalfalloutCompute the RetrievalFallOut metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalFallOut, or asks how to score with RetrievalFallOut.Votes: 0GitHub stars: 3
- RetrievalaurocCompute the RetrievalAUROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalAUROC, or asks how to score with RetrievalAUROC.Votes: 0GitHub stars: 3
- RelativesquarederrorCompute the RelativeSquaredError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RelativeSquaredError, or asks how to score with RelativeSquaredError.Votes: 0GitHub stars: 3
- RelativeaveragespectralerrorCompute the RelativeAverageSpectralError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RelativeAverageSpectralError, or asks how to score with RelativeAverageSpectralError.Votes: 0GitHub stars: 3
- RecallatfixedprecisionCompute the RecallAtFixedPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RecallAtFixedPrecision, or asks how to score with RecallAtFixedPrecision.Votes: 0GitHub stars: 3
- RecallCompute the Recall metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute Recall, or asks how to score with Recall.Votes: 0GitHub stars: 3
- Recall ScoreCompute the recall_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute recall_score, or asks how to score with recall_score.Votes: 0GitHub stars: 3
- RanksumsCompute the ranksums metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute ranksums, or asks how to score with ranksums.Votes: 0GitHub stars: 3
- RandscoreCompute the RandScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RandScore, or asks how to score with RandScore.Votes: 0GitHub stars: 3
- Rand ScoreCompute the rand_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute rand_score, or asks how to score with rand_score.Votes: 0GitHub stars: 3
- R2scoreCompute the R2Score metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute R2Score, or asks how to score with R2Score.Votes: 0GitHub stars: 3
- R2 ScoreCompute the r2_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute r2_score, or asks how to score with r2_score.Votes: 0GitHub stars: 3
- QualitywithnoreferenceCompute the QualityWithNoReference metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute QualityWithNoReference, or asks how to score with QualityWithNoReference.Votes: 0GitHub stars: 3
- PrecisionrecallcurveCompute the PrecisionRecallCurve metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PrecisionRecallCurve, or asks how to score with PrecisionRecallCurve.Votes: 0GitHub stars: 3
- PrecisionatfixedrecallCompute the PrecisionAtFixedRecall metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PrecisionAtFixedRecall, or asks how to score with PrecisionAtFixedRecall.Votes: 0GitHub stars: 3
- PrecisionCompute the Precision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute Precision, or asks how to score with Precision.Votes: 0GitHub stars: 3
- Precision ScoreCompute the precision_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute precision_score, or asks how to score with precision_score.Votes: 0GitHub stars: 3
- Power DivergenceCompute the power_divergence metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute power_divergence, or asks how to score with power_divergence.Votes: 0GitHub stars: 3
- Plaba Track EvalEvaluates NLP systems and large language models on adapting biomedical abstracts to plain language for lay consumers. It probes capabilities in text simplification, term replacement, factual faithfulness, and conciseness while measuring alignment with human expert judgments. Use when the user wants to benchmark on TREC PLABA, or asks about evaluating this task. Reports SARI.Votes: 0GitHub stars: 3