Type metrics
Namespace tensorflow.python.keras.metrics
Methods
- accuracy
- accuracy_dyn
- clone_metric
- clone_metric
- clone_metric_dyn
- clone_metrics
- clone_metrics
- clone_metrics
- clone_metrics_dyn
Properties
- _ConfusionMatrixConditionCount_fn
- accuracy_fn
- Accuracy_fn
- AUC_fn
- BinaryAccuracy_fn
- BinaryCrossentropy_fn
- CategoricalAccuracy_fn
- CategoricalCrossentropy_fn
- CategoricalHinge_fn
- clone_metric_fn
- clone_metrics_fn
- CosineSimilarity_fn
- FalseNegatives_fn
- FalsePositives_fn
- Hinge_fn
- KLDivergence_fn
- LogCoshError_fn
- mae
- MAE
- mae_dyn
- MAE_dyn
- mape
- MAPE
- mape_dyn
- MAPE_dyn
- Mean_fn
- MeanAbsoluteError_fn
- MeanAbsolutePercentageError_fn
- MeanIoU_fn
- MeanMetricWrapper_fn
- MeanRelativeError_fn
- MeanSquaredError_fn
- MeanSquaredLogarithmicError_fn
- MeanTensor_fn
- Metric_fn
- mse
- MSE
- mse_dyn
- MSE_dyn
- msle
- MSLE
- msle_dyn
- MSLE_dyn
- Poisson_fn
- Precision_fn
- Recall_fn
- Reduce_fn
- RootMeanSquaredError_fn
- SensitivityAtSpecificity_fn
- SensitivitySpecificityBase_fn
- SparseCategoricalAccuracy_fn
- SparseCategoricalCrossentropy_fn
- SparseTopKCategoricalAccuracy_fn
- SpecificityAtSensitivity_fn
- SquaredHinge_fn
- Sum_fn
- SumOverBatchSize_fn
- SumOverBatchSizeMetricWrapper_fn
- TopKCategoricalAccuracy_fn
- TrueNegatives_fn
- TruePositives_fn