Searched refs:metrics_mod (Results 1 – 3 of 3) sorted by relevance
26 from tensorflow.python.keras import metrics as metrics_mod unknown121 self._loss_metric = metrics_mod.Mean(name='loss') # Total loss.163 metrics_mod.Mean(output_name + '_loss'))459 metric_obj = metrics_mod.get(metric)472 metric_obj = metrics_mod.binary_accuracy474 metric_obj = metrics_mod.sparse_categorical_accuracy476 metric_obj = metrics_mod.categorical_accuracy479 metric_obj = metrics_mod.binary_crossentropy481 metric_obj = metrics_mod.sparse_categorical_crossentropy483 metric_obj = metrics_mod.categorical_crossentropy[all …]
28 from tensorflow.python.keras import metrics as metrics_mod unknown439 self.assertEqual(acc_metric_1._fn, metrics_mod.binary_accuracy)452 self.assertEqual(acc_metric_2._fn, metrics_mod.binary_accuracy)573 metrics_mod.binary_crossentropy)580 metrics_mod.sparse_categorical_crossentropy)586 metrics_mod.categorical_crossentropy)593 metrics_mod.binary_accuracy)600 metrics_mod.sparse_categorical_accuracy)606 metrics_mod.categorical_accuracy)
90 metrics_mod = generic_utils.LazyLoader( variable1757 metric_obj = metrics_mod.Mean(2865 if isinstance(val, metrics_mod.Metric) and hasattr(self, '_metrics'):2952 not isinstance(trackable_obj, metrics_mod.Metric)):