Searched refs:metrics_names (Results 1 – 25 of 25) sorted by relevance
/external/tensorflow/tensorflow/python/keras/ |
D | models.py | 64 def _insert_ancillary_layers(model, ancillary_layers, metrics_names, new_nodes): argument 70 metric_layers.sort(key=lambda layer: metrics_names.index(layer.metric_name)) 202 metrics_names = model.metrics_names 217 _insert_ancillary_layers(model, ancillary_layers, metrics_names, new_nodes) 383 _insert_ancillary_layers(cloned_model, ancillary_layers, model.metrics_names,
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D | callbacks.py | 162 metric_names = model.metrics_names 195 metric_names = model.metrics_names
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_distributed_v1.py | 181 out_labels = model.metrics_names or [] 323 out_labels = model.metrics_names 374 outs = [0.] * len(model.metrics_names) 396 for i, label in enumerate(model.metrics_names):
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D | training_v1.py | 512 def metrics_names(self): member in Model 517 metrics_names = ['loss'] 523 return super(Model, self).metrics_names 527 metrics_names.extend([ 534 metrics_names += [m.name for m in self.metrics] 535 return metrics_names 1830 while metric_name in self.metrics_names:
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D | training.py | 685 def metrics_names(self): member in Model 1459 for name in self.metrics_names: 1463 if key not in self.metrics_names: 1796 results = [logs.get(name, None) for name in self.metrics_names] 1855 results = [logs.get(name, None) for name in self.metrics_names]
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D | training_eager_test.py | 348 evaluation_results = dict(zip(model.metrics_names, results))
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D | training_test.py | 2878 self.assertEqual(reference_metric_names, model.metrics_names)
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/external/tensorflow/tensorflow/python/keras/wrappers/ |
D | scikit_learn.py | 305 for name, output in zip(self.model.metrics_names, outputs):
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | tensorflow_op_layer_test.py | 346 self.assertAllEqual(model.metrics_names, new_model.metrics_names)
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saving_utils_test.py | 407 self.assertEqual(set(model_metric_names), set(model.metrics_names))
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D | save_test.py | 814 zip(loaded_model.metrics_names, evaluation_results))
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.models.-model.pbtxt | 68 name: "metrics_names"
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D | tensorflow.keras.-model.pbtxt | 68 name: "metrics_names"
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D | tensorflow.keras.models.-sequential.pbtxt | 70 name: "metrics_names"
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D | tensorflow.keras.-sequential.pbtxt | 70 name: "metrics_names"
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D | tensorflow.keras.experimental.-linear-model.pbtxt | 69 name: "metrics_names"
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D | tensorflow.keras.experimental.-wide-deep-model.pbtxt | 69 name: "metrics_names"
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.models.-model.pbtxt | 68 name: "metrics_names"
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D | tensorflow.keras.models.-sequential.pbtxt | 70 name: "metrics_names"
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D | tensorflow.keras.experimental.-linear-model.pbtxt | 69 name: "metrics_names"
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D | tensorflow.keras.-model.pbtxt | 68 name: "metrics_names"
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D | tensorflow.keras.-sequential.pbtxt | 70 name: "metrics_names"
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D | tensorflow.keras.experimental.-wide-deep-model.pbtxt | 69 name: "metrics_names"
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/external/tensorflow/tensorflow/python/keras/distribute/ |
D | distribute_strategy_test.py | 2577 results = dict(zip(model.metrics_names, model.evaluate(dataset))) 2638 results = dict(zip(model.metrics_names, results))
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/external/tensorflow/ |
D | RELEASE.md | 1303 …lassed models have been unified. Model properties such as `metrics`, `metrics_names` will now be a…
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