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- 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
- PermutationinvarianttrainingCompute the PermutationInvariantTraining metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PermutationInvariantTraining, or asks how to score with PermutationInvariantTraining.Votes: 0GitHub stars: 3
- PearsonscontingencycoefficientCompute the PearsonsContingencyCoefficient metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PearsonsContingencyCoefficient, or asks how to score with PearsonsContingencyCoefficient.Votes: 0GitHub stars: 3
- PearsonrCompute the pearsonr metric — provided by scipy.stats. Use when the user has predictions and ground-truth and needs to compute pearsonr, or asks how to score with pearsonr.Votes: 0GitHub stars: 3
- PearsoncorrcoefCompute the PearsonCorrCoef metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PearsonCorrCoef, or asks how to score with PearsonCorrCoef.Votes: 0GitHub stars: 3
- PeaksignalnoiseratiowithblockedeffectCompute the PeakSignalNoiseRatioWithBlockedEffect metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PeakSignalNoiseRatioWithBlockedEffect, or asks how to score with PeakSignalNoiseRatioWithBlockedEffect.Votes: 0GitHub stars: 3
- PeaksignalnoiseratioCompute the PeakSignalNoiseRatio metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PeakSignalNoiseRatio, or asks how to score with PeakSignalNoiseRatio.Votes: 0GitHub stars: 3
- PanopticqualityCompute the PanopticQuality metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute PanopticQuality, or asks how to score with PanopticQuality.Votes: 0GitHub stars: 3
- NormalizedrootmeansquarederrorCompute the NormalizedRootMeanSquaredError metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute NormalizedRootMeanSquaredError, or asks how to score with NormalizedRootMeanSquaredError.Votes: 0GitHub stars: 3
- NormalizedmutualinfoscoreCompute the NormalizedMutualInfoScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute NormalizedMutualInfoScore, or asks how to score with NormalizedMutualInfoScore.Votes: 0GitHub stars: 3
- Normalized Mutual Info ScoreCompute the normalized_mutual_info_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute normalized_mutual_info_score, or asks how to score with normalized_mutual_info_score.Votes: 0GitHub stars: 3
- NegativepredictivevalueCompute the NegativePredictiveValue metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute NegativePredictiveValue, or asks how to score with NegativePredictiveValue.Votes: 0GitHub stars: 3
- Ndcg ScoreCompute the ndcg_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute ndcg_score, or asks how to score with ndcg_score.Votes: 0GitHub stars: 3
- MutualinfoscoreCompute the MutualInfoScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MutualInfoScore, or asks how to score with MutualInfoScore.Votes: 0GitHub stars: 3
- Mutual Info ScoreCompute the mutual_info_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute mutual_info_score, or asks how to score with mutual_info_score.Votes: 0GitHub stars: 3
- MultitaskwrapperCompute the MultitaskWrapper metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MultitaskWrapper, or asks how to score with MultitaskWrapper.Votes: 0GitHub stars: 3
- MultiscalestructuralsimilarityindexmeasureCompute the MultiScaleStructuralSimilarityIndexMeasure metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute MultiScaleStructuralSimilarityIndexMeasure, or asks how to score with MultiScaleStructuralSimilarityIndexMeasure.Votes: 0GitHub stars: 3