Index A | B | C | D | F | I | L | M | N | P | R | S | U | W A Accuracy (class in flax_metrics.classification) Average (class in flax_metrics.base) B BaseMetric (class in flax_metrics.base) C compute() (flax_metrics.base.Average method) (flax_metrics.base.BaseMetric method) (flax_metrics.base.Welford method) (flax_metrics.classification.Accuracy method) (flax_metrics.classification.F1Score method) (flax_metrics.classification.LogProb method) (flax_metrics.classification.Precision method) (flax_metrics.classification.Recall method) (flax_metrics.dot_product_ranking.DotProductMeanAveragePrecision method) (flax_metrics.dot_product_ranking.DotProductMeanReciprocalRank method) (flax_metrics.dot_product_ranking.DotProductNDCG method) (flax_metrics.dot_product_ranking.DotProductPrecisionAtK method) (flax_metrics.dot_product_ranking.DotProductRecallAtK method) (flax_metrics.ranking.MeanAveragePrecision method) (flax_metrics.ranking.MeanReciprocalRank method) (flax_metrics.ranking.NDCG method) (flax_metrics.ranking.PrecisionAtK method) (flax_metrics.ranking.RecallAtK method) (flax_metrics.regression.LpError method) (flax_metrics.regression.MeanAbsoluteError method) (flax_metrics.regression.MeanSquaredError method) (flax_metrics.regression.MeanSquaredLogError method) (flax_metrics.regression.RootMeanSquaredError method) (flax_metrics.regression.RootMeanSquaredLogError method) count() (flax_metrics.base.Statistics method) D DotProductMeanAveragePrecision (class in flax_metrics.dot_product_ranking) DotProductMeanReciprocalRank (class in flax_metrics.dot_product_ranking) DotProductNDCG (class in flax_metrics.dot_product_ranking) DotProductPrecisionAtK (class in flax_metrics.dot_product_ranking) DotProductRecallAtK (class in flax_metrics.dot_product_ranking) F F1Score (class in flax_metrics.classification) flax_metrics.base module flax_metrics.classification module flax_metrics.dot_product_ranking module flax_metrics.ranking module flax_metrics.regression module I index() (flax_metrics.base.Statistics method) L LogProb (class in flax_metrics.classification) LpError (class in flax_metrics.regression) M mean (flax_metrics.base.Statistics attribute) MeanAbsoluteError (class in flax_metrics.regression) MeanAveragePrecision (class in flax_metrics.ranking) MeanReciprocalRank (class in flax_metrics.ranking) MeanSquaredError (class in flax_metrics.regression) MeanSquaredLogError (class in flax_metrics.regression) module flax_metrics.base flax_metrics.classification flax_metrics.dot_product_ranking flax_metrics.ranking flax_metrics.regression N NDCG (class in flax_metrics.ranking) P Precision (class in flax_metrics.classification) PrecisionAtK (class in flax_metrics.ranking) R Recall (class in flax_metrics.classification) RecallAtK (class in flax_metrics.ranking) reset() (flax_metrics.base.Average method) (flax_metrics.base.BaseMetric method) (flax_metrics.base.Welford method) (flax_metrics.classification.Accuracy method) (flax_metrics.classification.F1Score method) (flax_metrics.classification.LogProb method) (flax_metrics.classification.Precision method) (flax_metrics.classification.Recall method) (flax_metrics.dot_product_ranking.DotProductMeanAveragePrecision method) (flax_metrics.dot_product_ranking.DotProductMeanReciprocalRank method) (flax_metrics.dot_product_ranking.DotProductNDCG method) (flax_metrics.dot_product_ranking.DotProductPrecisionAtK method) (flax_metrics.dot_product_ranking.DotProductRecallAtK method) (flax_metrics.ranking.MeanAveragePrecision method) (flax_metrics.ranking.MeanReciprocalRank method) (flax_metrics.ranking.NDCG method) (flax_metrics.ranking.PrecisionAtK method) (flax_metrics.ranking.RecallAtK method) (flax_metrics.regression.LpError method) (flax_metrics.regression.MeanAbsoluteError method) (flax_metrics.regression.MeanSquaredError method) (flax_metrics.regression.MeanSquaredLogError method) (flax_metrics.regression.RootMeanSquaredError method) (flax_metrics.regression.RootMeanSquaredLogError method) RootMeanSquaredError (class in flax_metrics.regression) RootMeanSquaredLogError (class in flax_metrics.regression) S standard_deviation (flax_metrics.base.Statistics attribute) standard_error_of_mean (flax_metrics.base.Statistics attribute) Statistics (class in flax_metrics.base) U update() (flax_metrics.base.Average method) (flax_metrics.base.BaseMetric method) (flax_metrics.base.Welford method) (flax_metrics.classification.Accuracy method) (flax_metrics.classification.F1Score method) (flax_metrics.classification.LogProb method) (flax_metrics.classification.Precision method) (flax_metrics.classification.Recall method) (flax_metrics.dot_product_ranking.DotProductMeanAveragePrecision method) (flax_metrics.dot_product_ranking.DotProductMeanReciprocalRank method) (flax_metrics.dot_product_ranking.DotProductNDCG method) (flax_metrics.dot_product_ranking.DotProductPrecisionAtK method) (flax_metrics.dot_product_ranking.DotProductRecallAtK method) (flax_metrics.ranking.MeanAveragePrecision method) (flax_metrics.ranking.MeanReciprocalRank method) (flax_metrics.ranking.NDCG method) (flax_metrics.ranking.PrecisionAtK method) (flax_metrics.ranking.RecallAtK method) (flax_metrics.regression.LpError method) (flax_metrics.regression.MeanAbsoluteError method) (flax_metrics.regression.MeanSquaredError method) (flax_metrics.regression.MeanSquaredLogError method) (flax_metrics.regression.RootMeanSquaredError method) (flax_metrics.regression.RootMeanSquaredLogError method) W Welford (class in flax_metrics.base)