Namespace tensorflow.keras.metrics
Classes
- Accuracy
- AUC
- BinaryAccuracy
- BinaryCrossentropy
- CategoricalAccuracy
- CategoricalCrossentropy
- CategoricalHinge
- CosineSimilarity
- FalseNegatives
- FalsePositives
- Hinge
- KLDivergence
- LogCoshError
- Mean
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanIoU
- MeanRelativeError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MeanTensor
- Metric
- Poisson
- Precision
- Recall
- RootMeanSquaredError
- SensitivityAtSpecificity
- SparseCategoricalAccuracy
- SparseCategoricalCrossentropy
- SparseTopKCategoricalAccuracy
- SpecificityAtSensitivity
- SquaredHinge
- Sum
- TopKCategoricalAccuracy
- TrueNegatives
- TruePositives
Interfaces
- IAccuracy
- IAUC
- IBinaryAccuracy
- IBinaryCrossentropy
- ICategoricalAccuracy
- ICategoricalCrossentropy
- ICategoricalHinge
- ICosineSimilarity
- IFalseNegatives
- IFalsePositives
- IHinge
- IKLDivergence
- ILogCoshError
- IMean
- IMeanAbsoluteError
- IMeanAbsolutePercentageError
- IMeanIoU
- IMeanRelativeError
- IMeanSquaredError
- IMeanSquaredLogarithmicError
- IMeanTensor
- IMetric
- IPoisson
- IPrecision
- IRecall
- IRootMeanSquaredError
- ISensitivityAtSpecificity
- ISparseCategoricalAccuracy
- ISparseCategoricalCrossentropy
- ISparseTopKCategoricalAccuracy
- ISpecificityAtSensitivity
- ISquaredHinge
- ISum
- ITopKCategoricalAccuracy
- ITrueNegatives
- ITruePositives