| path: "tensorflow.keras.metrics" |
| tf_module { |
| member_method { |
| name: "KLD" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "MAE" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "MAPE" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "MSE" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "MSLE" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "binary_accuracy" |
| argspec: "args=[\'y_true\', \'y_pred\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.5\'], " |
| } |
| member_method { |
| name: "binary_crossentropy" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "categorical_accuracy" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "categorical_crossentropy" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "cosine" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "cosine_proximity" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "deserialize" |
| argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " |
| } |
| member_method { |
| name: "get" |
| argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "hinge" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "kld" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "kullback_leibler_divergence" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mae" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mape" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mean_absolute_error" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mean_absolute_percentage_error" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mean_squared_error" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mean_squared_logarithmic_error" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "mse" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "msle" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "poisson" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "serialize" |
| argspec: "args=[\'metric\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "sparse_categorical_accuracy" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "sparse_categorical_crossentropy" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "sparse_top_k_categorical_accuracy" |
| argspec: "args=[\'y_true\', \'y_pred\', \'k\'], varargs=None, keywords=None, defaults=[\'5\'], " |
| } |
| member_method { |
| name: "squared_hinge" |
| argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "top_k_categorical_accuracy" |
| argspec: "args=[\'y_true\', \'y_pred\', \'k\'], varargs=None, keywords=None, defaults=[\'5\'], " |
| } |
| } |