Searched refs:mean_absolute_error (Results 1 – 23 of 23) sorted by relevance
/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.losses.-mean-absolute-error.pbtxt | 9 …ame\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'mean_absolute_error\'], "
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D | tensorflow.keras.losses.-mean-absolute-error.pbtxt | 9 …ame\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'mean_absolute_error\'], "
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D | tensorflow.keras.losses.pbtxt | 140 name: "mean_absolute_error"
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D | tensorflow.losses.pbtxt | 140 name: "mean_absolute_error"
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D | tensorflow.metrics.-mean-absolute-error.pbtxt | 93 …\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'mean_absolute_error\', \'None\'…
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D | tensorflow.keras.metrics.-mean-absolute-error.pbtxt | 93 …\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'mean_absolute_error\', \'None\'…
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D | tensorflow.metrics.pbtxt | 212 name: "mean_absolute_error"
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D | tensorflow.keras.metrics.pbtxt | 212 name: "mean_absolute_error"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.losses.-mean-absolute-error.pbtxt | 9 …ame\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'mean_absolute_error\'], "
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D | tensorflow.keras.losses.pbtxt | 144 name: "mean_absolute_error"
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D | tensorflow.keras.metrics.-mean-absolute-error.pbtxt | 93 …\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'mean_absolute_error\', \'None\'…
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D | tensorflow.keras.metrics.pbtxt | 220 name: "mean_absolute_error"
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D | tensorflow.metrics.pbtxt | 36 name: "mean_absolute_error"
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/external/tensorflow/tensorflow/contrib/keras/api/keras/losses/ |
D | __init__.py | 29 from tensorflow.python.keras.losses import mean_absolute_error
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/external/tensorflow/tensorflow/contrib/keras/api/keras/metrics/ |
D | __init__.py | 29 from tensorflow.python.keras.metrics import mean_absolute_error
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/external/tensorflow/tensorflow/python/keras/ |
D | losses.py | 225 mean_absolute_error, name=name, reduction=reduction) 681 def mean_absolute_error(y_true, y_pred): function 972 mae = MAE = mean_absolute_error
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D | metrics.py | 41 from tensorflow.python.keras.losses import mean_absolute_error 1895 mean_absolute_error, name, dtype=dtype) 2752 mae = MAE = mean_absolute_error
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D | losses_test.py | 39 keras.losses.mean_absolute_error,
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/external/tensorflow/tensorflow/contrib/slim/ |
D | README.md | 763 For example, to compute `mean_absolute_error`, two variables (`count` and 801 "eval/mean_absolute_error": slim.metrics.streaming_mean_absolute_error(predictions, labels), 827 "eval/mean_absolute_error": slim.metrics.streaming_mean_absolute_error(predictions, labels),
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_test.py | 104 self.assertEqual(model.loss_functions[1].fn, losses.mean_absolute_error) 110 self.assertEqual(model.loss_functions[0].fn, losses.mean_absolute_error) 993 keras.losses.mean_absolute_error(targets, outputs))) 2755 metrics_module.mean_absolute_error(targets, outputs),
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | metrics_test.py | 2913 metrics.mean_absolute_error( 2921 mean, _ = metrics.mean_absolute_error( 2930 _, update_op = metrics.mean_absolute_error( 2940 error, update_op = metrics.mean_absolute_error(labels, predictions) 2962 error, update_op = metrics.mean_absolute_error(labels, predictions, weights) 3236 mae, ma_update_op = metrics.mean_absolute_error(labels, predictions)
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/external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
D | metric_ops.py | 2950 return metrics.mean_absolute_error(
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/external/tensorflow/tensorflow/python/ops/ |
D | metrics_impl.py | 835 def mean_absolute_error(labels, function
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