| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| evaluation_test.py | 92 value_op, update_op = metric_ops.streaming_accuracy(self._predictions,
139 accuracy0, update_op0 = metric_ops.streaming_accuracy(predictions, labels)
140 accuracy1, update_op1 = metric_ops.streaming_accuracy(predictions + 1,
190 value_op, update_op = metric_ops.streaming_accuracy(
252 value_op, update_op = metric_ops.streaming_accuracy(self._predictions,
268 value_op, update_op = metric_ops.streaming_accuracy(self._predictions,
|
| /external/tensorflow/tensorflow/docs_src/api_guides/python/ |
| contrib.metrics.md | 58 accuracy, update_op_acc = tf.contrib.metrics.streaming_accuracy(
83 Certain metrics, such as streaming_mean or streaming_accuracy, can be weighted
89 * @{tf.contrib.metrics.streaming_accuracy}
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| evaluation_test.py | 199 accuracy, update_op = metric_ops.streaming_accuracy(predictions, labels)
314 accuracy, update_op = metric_ops.streaming_accuracy(predictions, labels)
368 accuracy, update_op = metric_ops.streaming_accuracy(predictions, labels)
420 accuracy0, update_op0 = metric_ops.streaming_accuracy(predictions, labels)
421 accuracy1, update_op1 = metric_ops.streaming_accuracy(
|
| evaluation.py | 39 "accuracy": tf.contrib.metrics.streaming_accuracy(predictions, labels),
84 "accuracy": tf.contrib.metrics.streaming_accuracy(predictions, labels),
|
| /external/tensorflow/tensorflow/examples/tutorials/monitors/ |
| iris_monitors.py | 42 metric_fn=tf.contrib.metrics.streaming_accuracy,
|
| /external/tensorflow/tensorflow/contrib/metrics/ |
| __init__.py | 20 @@streaming_accuracy
93 from tensorflow.contrib.metrics.python.ops.metric_ops import streaming_accuracy
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| estimator_input_test.py | 248 ('accuracy', 'class'): metric_ops.streaming_accuracy
271 ('accuracy', 'class'): metric_ops.streaming_accuracy
305 metric_fn=metric_ops.streaming_accuracy,
|
| rnn_common.py | 160 eval_metric_ops['accuracy'] = metrics.streaming_accuracy(
164 eval_metric_ops['accuracy'] = metrics.streaming_accuracy(
|
| logistic_regressor.py | 159 metrics_lib.streaming_accuracy(labels=labels_tensor,
|
| dnn_linear_combined_test.py | 827 metric_fn=metric_ops.streaming_accuracy,
[all...] |
| linear_test.py | 391 metric_fn=metric_ops.streaming_accuracy,
439 metric_ops.streaming_accuracy
[all...] |
| debug_test.py | 493 metric_fn=metric_ops.streaming_accuracy,
|
| dnn_test.py | 836 metric_fn=metric_ops.streaming_accuracy,
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| eval_metrics.py | 46 return metric_ops.streaming_accuracy(predictions, targets, weights=weights)
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| target_column.py | 323 metrics = {("accuracy", "classes"): metric_ops.streaming_accuracy}
499 return metric_ops.streaming_accuracy(
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| metric_spec.py | 255 a predefined function in metric_ops (e.g., `streaming_accuracy`) or a custom
|
| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| metric_ops_test.py | 486 metrics.streaming_accuracy(
495 mean, _ = metrics.streaming_accuracy(
503 _, update_op = metrics.streaming_accuracy(
513 metrics.streaming_accuracy(predictions, labels)
520 metrics.streaming_accuracy(predictions, labels, weights)
527 accuracy, update_op = metrics.streaming_accuracy(predictions, labels)
561 accuracy, update_op = metrics.streaming_accuracy(predictions, labels)
573 accuracy, update_op = metrics.streaming_accuracy(predictions, labels)
587 accuracy, update_op = metrics.streaming_accuracy(predictions, labels,
591 # if streaming_accuracy does not flatten the weight, accuracy would b
[all...] |
| metric_ops.py | 346 def streaming_accuracy(predictions, function
354 The `streaming_accuracy` function creates two local variables, `total` and
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| metrics_test.py | 622 # if streaming_accuracy does not flatten the weight, accuracy would be
643 # if streaming_accuracy does not flatten the weight, accuracy would be
[all...] |
