| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | categorical_test.py | 34 from tensorflow.python.ops.distributions import categorical
43 return categorical.Categorical(logits, dtype=dtype)
51 dist = categorical.Categorical(probs=p)
60 dist = categorical.Categorical(logits=logits)
118 dist = categorical.Categorical(logits)
132 dist = categorical.Categorical(math_ops.log(histograms) - 50.)
139 dist = categorical.Categorical(math_ops.log(histograms) - 50.)
150 dist = categorical.Categorical(probs=histograms)
189 dist = categorical.Categorical(probs=histograms_ph)
201 dist = categorical.Categorical(probs=histograms)
[all …]
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| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | np_utils.py | 77 categorical = np.zeros((n, num_classes), dtype=dtype)
78 categorical[np.arange(n), y] = 1
80 categorical = np.reshape(categorical, output_shape)
81 return categorical
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt | 23 …'filename\', \'class\', \'None\', \'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
27 …gs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
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| D | tensorflow.keras.preprocessing.sequence.pbtxt | 17 …cabulary_size\', \'window_size\', \'negative_samples\', \'shuffle\', \'categorical\', \'sampling_t…
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| D | tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt | 27 …gs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
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| D | tensorflow.random.pbtxt | 20 name: "categorical"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt | 23 …'filename\', \'class\', \'None\', \'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
27 …gs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
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| D | tensorflow.keras.preprocessing.sequence.pbtxt | 17 …cabulary_size\', \'window_size\', \'negative_samples\', \'shuffle\', \'categorical\', \'sampling_t…
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| D | tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt | 27 …gs=None, keywords=None, defaults=[\'(256, 256)\', \'rgb\', \'None\', \'categorical\', \'32\', \'Tr…
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| D | tensorflow.distributions.-categorical.pbtxt | 3 is_instance: "<class \'tensorflow.python.ops.distributions.categorical.Categorical\'>"
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| D | tensorflow.random.pbtxt | 20 name: "categorical"
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | distributions.py | 27 from tensorflow.python.ops.distributions.categorical import Categorical
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| /external/tensorflow/tensorflow/lite/tools/optimize/testdata/ |
| D | README.md | 30 of mapping categorical input to embeddings.
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| /external/tensorflow/tensorflow/python/keras/preprocessing/ |
| D | sequence_test.py | 94 np.arange(5), vocabulary_size=5, window_size=1, categorical=True)
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| /external/tensorflow/tensorflow/python/ops/ |
| D | random_ops.py | 501 def categorical(logits, num_samples, dtype=None, seed=None, name=None): function
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| /external/tensorflow/tensorflow/python/ops/numpy_ops/g3doc/ |
| D | TensorFlow_NumPy_Text_Generation.ipynb | 725 "sampled_indices = tf.random.categorical(example_batch_predictions[0], num_samples=1)\n",
997 …"* Then, use a categorical distribution to calculate the index of the predicted character. Use thi…
1046 " # using a categorical distribution to predict the character returned by the model\n",
1048 " predicted_id = tf.random.categorical(predictions, num_samples=1)[-1,0].numpy()\n",
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| /external/tensorflow/tensorflow/tools/ci_build/ |
| D | pylint_allowlist | 93 ^tensorflow/python/ops/distributions/categorical.py.*\[E1130.*invalid-unary-operand-type
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | control_flow_ops_test.py | 744 return random_ops.categorical(logits=[[1., -1.]], num_samples=3)
753 return random_ops.categorical(logits_i, num_samples=3)
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| /external/tensorflow/ |
| D | RELEASE.md | 1138 …ental.preprocessing`) to handle data preprocessing operations such as categorical feature encodin…
1139 * Added **categorical data** processing layers:
1140 * `IntegerLookup` & `StringLookup`: build an index of categorical feature values
1142 …* `CategoryCrossing`: create new categorical features representing co-occurrences of previous cate…
1143 * `Hashing`: the hashing trick, for large-vocabulary categorical features
1144 …* `Discretization`: turn continuous numerical features into categorical features by binning their …
2020 * Add v2 sparse categorical crossentropy metric.
2452 * Add v2 sparse categorical crossentropy metric.
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| /external/cldr/tools/java/org/unicode/cldr/util/data/transforms/ |
| D | internal_overrides.txt | 562 categorical → kˌætɪgˈorɪkəl
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| D | internal_raw_IPA-old.txt | 32139 categorical %23809 -gɔr-, kˌætəgˈɑrɪkəl, kˌætəgˈɔrɪkəl, kˌætɪgˈorɪkəl
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| D | internal_raw_IPA.txt | 27227 categorical %33785 kˌætəgˈɑrɪkəl, kˌætəgˈɔrɪkəl, kˌætɪgˈorɪkəl
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| /external/jline/src/src/test/resources/jline/example/ |
| D | english.gz | |