| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| model_fn.py | 72 'predictions', 'loss', 'train_op', 'eval_metric_ops',
91 eval_metric_ops=None,
120 eval_metric_ops: Dict of metric results keyed by name. The values of the
182 # Validate eval_metric_ops
183 if eval_metric_ops is None:
184 eval_metric_ops = {}
186 if not isinstance(eval_metric_ops, dict):
187 raise ValueError('eval_metric_ops must be a dict.')
205 eval_metric_ops=eval_metric_ops,
[all...] |
| logistic_regressor.py | 56 eval_metric_ops = _make_logistic_eval_metric_ops(
61 eval_metric_ops = None
67 eval_metric_ops=eval_metric_ops,
|
| rnn_common.py | 158 eval_metric_ops = {}
165 eval_metric_ops['accuracy'] = metrics.streaming_accuracy(
169 eval_metric_ops['accuracy'] = metrics.streaming_accuracy(
179 return eval_metric_ops
|
| kmeans.py | 139 eval_metric_ops = {KMeansClustering.SCORES: loss}
148 eval_metric_ops=eval_metric_ops,
|
| dynamic_rnn_estimator.py | 518 eval_metric_ops = None
520 eval_metric_ops = rnn_common.get_eval_metric_ops(
542 eval_metric_ops=eval_metric_ops,
|
| state_saving_rnn_estimator.py | 508 eval_metric_ops = None
510 eval_metric_ops = rnn_common.get_eval_metric_ops(
531 eval_metric_ops=eval_metric_ops)
|
| model_fn_test.py | 55 eval_metric_ops={
67 for key, value in six.iteritems(model_fn_ops.eval_metric_ops):
74 estimator_spec.eval_metric_ops)
|
| state_saving_rnn_estimator_test.py | 361 self.assertNotEqual(len(model_fn_ops.eval_metric_ops), 0)
369 self.assertNotEqual(len(model_fn_ops.eval_metric_ops), 0)
377 self.assertFalse(model_fn_ops.eval_metric_ops)
|
| head.py | 654 eval_metric_ops = None
670 eval_metric_ops = metrics_fn(
677 eval_metric_ops=eval_metric_ops,
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| estimator_utils.py | 73 eval_metric_ops=estimator_spec.eval_metric_ops,
|
| /external/tensorflow/tensorflow/examples/learn/ |
| iris_custom_decay_dnn.py | 63 eval_metric_ops = {
68 mode, loss=loss, eval_metric_ops=eval_metric_ops)
|
| iris_custom_model.py | 60 eval_metric_ops = {
65 mode, loss=loss, eval_metric_ops=eval_metric_ops)
|
| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| cnn_mnist.py | 111 eval_metric_ops = {
115 mode=mode, loss=loss, eval_metric_ops=eval_metric_ops)
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| head_impl.py | 216 eval_metric_ops = {
227 eval_metric_ops.update(custom_eval_metric_ops)
232 eval_metric_ops=eval_metric_ops)
|
| gan_estimator_impl.py | 307 eval_metric_ops = {
318 eval_metric_ops.update(custom_eval_metric_ops)
323 eval_metric_ops=eval_metric_ops)
|
| stargan_estimator_impl.py | 308 eval_metric_ops = {
319 eval_metric_ops.update(custom_eval_metric_ops)
324 eval_metric_ops=eval_metric_ops)
|
| tpu_gan_estimator_impl.py | 324 eval_metric_ops = {
334 eval_metric_ops.update(custom_eval_metric_ops)
335 return eval_metric_ops
|
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| gmm.py | 174 eval_metric_ops = {
179 eval_metric_ops=eval_metric_ops,
|
| wals.py | 313 eval_metric_ops={},
345 eval_metric_ops={},
367 eval_metric_ops={},
|
| /external/tensorflow/tensorflow/contrib/distribute/python/examples/ |
| simple_estimator_example.py | 53 mode, loss=loss_fn(), eval_metric_ops={"Accuracy": acc_obj})
|
| /external/tensorflow/tensorflow/contrib/compiler/ |
| xla.py | 595 # Calculate eval_metric_ops if eval_metric_fn is set and captured.
599 eval_metric_ops = eval_metric_fn(*eval_metric_fn_tensors)
601 eval_metric_ops = None
606 eval_metric_ops=eval_metric_ops,
704 if estimator_spec.eval_metric_ops:
705 raise ValueError('EstimatorSpec.eval_metric_ops is not supported with '
|
| xla_test.py | 387 sess.run(estimator_spec.eval_metric_ops['metric_1'][0]),
390 sess.run(estimator_spec.eval_metric_ops['metric_1'][1]),
393 sess.run(estimator_spec.eval_metric_ops['metric_2'][0]),
396 sess.run(estimator_spec.eval_metric_ops['metric_2'][1]),
408 eval_metric_ops={
413 ValueError, 'EstimatorSpec.eval_metric_ops is not supported with XLA '
443 self.assertEqual(estimator_spec.eval_metric_ops, {})
|
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| custom_regression.py | 81 eval_metric_ops=eval_metrics)
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| head_test.py | 122 metric[1] for metric in outputs.eval_metric_ops.values()]
131 (loss_mean, outputs.eval_metric_ops["ticker"][0],
132 outputs.eval_metric_ops[feature_keys.FilteringResults.STATE_TUPLE][
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
| main_estimator.py | 73 eval_metric_ops={
|
