| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| head.py | 44 label_vocabulary=None,
56 `[D0, D1, ... DN, 1]`. If `label_vocabulary` given, `labels` must be a string
57 `Tensor` with values from the vocabulary. If `label_vocabulary` is not given,
70 shape `[D0, D1, ... DN, 1]`. Namely, the head applies `label_vocabulary` to
80 label_vocabulary: A list or tuple of strings representing possible label
83 have any value in `label_vocabulary`. Note that errors will be raised if
84 `label_vocabulary` is not provided but labels are strings.
95 ValueError: if `n_classes`, `label_vocabulary` or `loss_reduction` is
101 label_vocabulary=label_vocabulary,
[all...] |
| head_test.py | 126 r'label_vocabulary must be a list or tuple\. '
128 head_lib.multi_label_head(n_classes=2, label_vocabulary={'foo': 'bar'})
133 r'Length of label_vocabulary must be n_classes \(3\). Given: 2'):
134 head_lib.multi_label_head(n_classes=3, label_vocabulary=['foo', 'bar'])
221 n_classes, label_vocabulary=['foo', 'bar', 'foobar', 'barfoo'])
525 n_classes, label_vocabulary=['class0', 'class1'])
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| baseline.py | 224 label_vocabulary=None,
241 label_vocabulary: Optional list of strings with size `[n_classes]`
258 label_vocabulary=label_vocabulary,
263 label_vocabulary=label_vocabulary,
|
| linear.py | 246 label_vocabulary=None,
272 label_vocabulary: A list of strings represents possible label values. If
274 `label_vocabulary`. If it is not given, that means labels are
300 label_vocabulary=label_vocabulary,
305 label_vocabulary=label_vocabulary,
|
| head.py | 441 def _classification_output(scores, n_classes, label_vocabulary=None):
443 if label_vocabulary:
444 export_class_list = label_vocabulary
527 label_vocabulary=None,
537 `[D0, D1, ... DN, 1]`. If `label_vocabulary` given, `labels` must be a string
538 `Tensor` with values from the vocabulary. If `label_vocabulary` is not given,
551 shape `[D0, D1, ... DN, 1]`. Namely, the head applies `label_vocabulary` to
561 label_vocabulary: A list or tuple of strings representing possible label
564 have any value in `label_vocabulary`. Note that errors will be raised if
565 `label_vocabulary` is not provided but labels are strings
[all...] |
| dnn.py | 276 label_vocabulary=None,
306 label_vocabulary: A list of strings represents possible label values. If
308 `label_vocabulary`. If it is not given, that means labels are
333 label_vocabulary=label_vocabulary,
338 label_vocabulary=label_vocabulary,
|
| dnn_linear_combined.py | 311 label_vocabulary=None,
347 label_vocabulary: A list of strings represents possible label values. If
349 `label_vocabulary`. If it is not given, that means labels are
379 label_vocabulary=label_vocabulary,
385 label_vocabulary=label_vocabulary,
|
| dnn_linear_combined_test.py | 163 label_vocabulary=None,
173 label_vocabulary=label_vocabulary,
384 label_vocabulary=None,
395 label_vocabulary=label_vocabulary,
[all...] |
| dnn_testing_utils.py | [all...] |
| baseline_test.py | [all...] |
| linear_testing_utils.py | [all...] |
| head_test.py | 378 n_classes, label_vocabulary=['aang', 'iroh', 'zuko'])
621 n_classes, label_vocabulary=['aang', 'iroh', 'zuko'])
640 n_classes, label_vocabulary=['aang', 'iroh', 'zuko'])
[all...] |
