Searched refs:feature_values (Results 1 - 5 of 5) sorted by relevance
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| H A D | sparse_feature_column.py | 68 @@feature_values
71 def __init__(self, example_indices, feature_indices, feature_values):
79 feature_values: An optional 1-D tensor float tensor of shape `[N]`. Also,
92 if feature_values is not None:
93 with name_scope(None, 'SparseFeatureColumn', [feature_values]):
95 feature_values, name='feature_values', dtype=dtypes.float32)
116 def feature_values(self): member in class:SparseFeatureColumn
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| H A D | sparse_feature_column_test.py | 38 self.assertEqual(sfc.feature_values, None)
46 self.assertAllEqual(expected_feature_values, sfc.feature_values.eval())
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| H A D | sdca_ops.py | 244 array_ops.gather(sv, sfc.feature_indices), sfc.feature_values),
306 if sf.feature_values is not None:
307 sparse_features_values.append(sf.feature_values)
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| H A D | test_data.py | 27 def get_quantile_based_buckets(feature_values, num_buckets):
29 np.array(feature_values),
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| /external/tensorflow/tensorflow/core/kernels/ |
| H A D | example_parsing_ops.cc | 506 Tensor feature_values = FeatureSparseCopy(0, key, dtype, f); variable
507 const int64 num_elements = feature_values.NumElements();
513 context_sparse_values.set(d, feature_values);
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