Keras 评价指标

1.常用评价指标

1.1 Accuracy metrics

• Accuracy class
• BinaryAccuracy class
• CategoricalAccuracy class
• TopKCategoricalAccuracy class
• SparseTopKCategoricalAccuracy class

1.2 Probabilistic metrics

• BinaryCrossentropy class
• CategoricalCrossentropy class
• SparseCategoricalCrossentropy class
• KLDivergence class
• Poisson class

1.3 Regression metrics

• MeanSquaredError class
• RootMeanSquaredError class
• MeanAbsoluteError class
• MeanAbsolutePercentageError class
• CosineSimilarity class
• LogCoshError class

1.4 Classification metrics based on True/False positives & negatives

• AUC class
• Precision class
• Recall class
• TurePositives class
• TrueNegatives class
• FalsePositives class
• FalseNegatives class
• PrecisionAtRecall class
• SensitivityAtSpecificity class
• SpecificityAtSensitivity class

1.5 image segmentation metrics

• MeanIoU class

1.6 Hinge metrics for “maximum-margin” Classification

• Hinge class
• SquaredHinge class
• CategoricalHinge class

2.评价指标的使用——compile() & fit()

3.评价指标的使用——单独使用

4.创建自定义评价指标

5. add_metric() API