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- ScaleinvariantsignaldistortionratioCompute the ScaleInvariantSignalDistortionRatio metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute ScaleInvariantSignalDistortionRatio, or asks how to score with ScaleInvariantSignalDistortionRatio.Votes: 0GitHub stars: 3
- SacrebleuscoreCompute the SacreBLEUScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute SacreBLEUScore, or asks how to score with SacreBLEUScore.Votes: 0GitHub stars: 3
- RunningsumCompute the RunningSum metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RunningSum, or asks how to score with RunningSum.Votes: 0GitHub stars: 3
- RunningmeanCompute the RunningMean metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RunningMean, or asks how to score with RunningMean.Votes: 0GitHub stars: 3
- RougescoreCompute the ROUGEScore metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute ROUGEScore, or asks how to score with ROUGEScore.Votes: 0GitHub stars: 3
- RootmeansquarederrorusingslidingwindowCompute the RootMeanSquaredErrorUsingSlidingWindow metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RootMeanSquaredErrorUsingSlidingWindow, or asks how to score with RootMeanSquaredErrorUsingSlidingWindow.Votes: 0GitHub stars: 3
- Root Mean Squared Log ErrorCompute the root_mean_squared_log_error metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute root_mean_squared_log_error, or asks how to score with root_mean_squared_log_error.Votes: 0GitHub stars: 3
- Root Mean Squared ErrorCompute the root_mean_squared_error metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute root_mean_squared_error, or asks how to score with root_mean_squared_error.Votes: 0GitHub stars: 3
- RocCompute the ROC metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute ROC, or asks how to score with ROC.Votes: 0GitHub stars: 3
- Roc Auc ScoreCompute the roc_auc_score metric — provided by scikit-learn. Use when the user has predictions and ground-truth and needs to compute roc_auc_score, or asks how to score with roc_auc_score.Votes: 0GitHub stars: 3
- RetrievalrprecisionCompute the RetrievalRPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalRPrecision, or asks how to score with RetrievalRPrecision.Votes: 0GitHub stars: 3
- RetrievalrecallatfixedprecisionCompute the RetrievalRecallAtFixedPrecision metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalRecallAtFixedPrecision, or asks how to score with RetrievalRecallAtFixedPrecision.Votes: 0GitHub stars: 3
- RetrievalrecallCompute the RetrievalRecall metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalRecall, or asks how to score with RetrievalRecall.Votes: 0GitHub stars: 3
- RetrievalprecisionrecallcurveCompute the RetrievalPrecisionRecallCurve metric — provided by torchmetrics. Use when the user has predictions and ground-truth and needs to compute RetrievalPrecisionRecallCurve, or asks how to score with RetrievalPrecisionRecallCurve.Votes: 0GitHub stars: 3
- 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