| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | debug_test.py | 88 test_labels) = _train_test_split(
93 [[majority_class] for _ in range(test_labels.shape[0])])
106 test_labels) = _train_test_split(
112 [[majority_class] for _ in range(test_labels.shape[0])])
123 train_labels), (test_features, test_labels) = _train_test_split(
129 [[majority_class] for _ in range(test_labels.shape[0])])
142 test_labels) = _train_test_split(
151 [class_distribution for _ in range(test_labels.shape[0])])
165 test_labels) = _train_test_split(
174 [class_distribution for _ in range(test_labels.shape[0])])
[all …]
|
| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 3_regularization.ipynb | 111 " test_labels = save['test_labels']\n",
115 " print('Test set', test_dataset.shape, test_labels.shape)"
188 "test_dataset, test_labels = reformat(test_dataset, test_labels)\n",
191 "print('Test set', test_dataset.shape, test_labels.shape)"
|
| D | 4_convolutions.ipynb | 102 " test_labels = save['test_labels']\n",
106 " print('Test set', test_dataset.shape, test_labels.shape)"
182 "test_dataset, test_labels = reformat(test_dataset, test_labels)\n",
185 "print('Test set', test_dataset.shape, test_labels.shape)"
355 " print('Test accuracy: %.1f%%' % accuracy(test_prediction.eval(), test_labels))"
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| D | 2_fullyconnected.ipynb | 112 " test_labels = save['test_labels']\n",
116 " print('Test set', test_dataset.shape, test_labels.shape)"
189 "test_dataset, test_labels = reformat(test_dataset, test_labels)\n",
192 "print('Test set', test_dataset.shape, test_labels.shape)"
363 " print('Test accuracy: %.1f%%' % accuracy(test_prediction.eval(), test_labels))"
534 " print(\"Test accuracy: %.1f%%\" % accuracy(test_prediction.eval(), test_labels))"
|
| D | 1_notmnist.ipynb | 594 "_, _, test_dataset, test_labels = merge_datasets(test_datasets, test_size)\n",
598 "print('Testing:', test_dataset.shape, test_labels.shape)"
643 "test_dataset, test_labels = randomize(test_dataset, test_labels)\n",
698 " 'test_labels': test_labels,\n",
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
| D | mnist.py | 277 test_labels = extract_labels(f, one_hot=one_hot)
292 test = DataSet(test_images, test_labels, **options)
|
| /external/autotest/frontend/tko/ |
| D | models.py | 575 test_labels = filter_data.pop('test_label_fields', [])
576 query_set = self._join_test_label_columns(query_set, test_labels)
|
| /external/autotest/cli/ |
| D | host_unittest.py | 1350 def test_labels(self): member in host_mod_create_tests
|
| /external/python/cpython2/Lib/test/ |
| D | test_mailbox.py | 1182 def test_labels(self): member in TestBabyl
1438 def test_labels(self): member in TestBabylMessage
|
| /external/python/cpython3/Lib/test/ |
| D | test_mailbox.py | 1292 def test_labels(self): member in TestBabyl
1593 def test_labels(self): member in TestBabylMessage
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| /external/tensorflow/tensorflow/tools/docker/notebooks/ |
| D | 3_mnist_from_scratch.ipynb | 758 "test_labels = extract_labels(test_labels_filename, 10000)"
1924 "test_error, confusions = error_rate(test_prediction.eval(), test_labels)\n",
2008 "plt.hist(numpy.argmax(test_labels, 1));"
|