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Searched refs:feature_values (Results 1 – 6 of 6) sorted by relevance

/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/
Dsparse_feature_column.py81 def __init__(self, example_indices, feature_indices, feature_values): argument
102 if feature_values is not None:
103 with name_scope(None, 'SparseFeatureColumn', [feature_values]):
105 feature_values, name='feature_values', dtype=dtypes.float32)
126 def feature_values(self): member in SparseFeatureColumn
Dsparse_feature_column_test.py43 self.assertEqual(sfc.feature_values, None)
51 self.assertAllEqual(expected_feature_values, sfc.feature_values.eval())
Dsdca_ops.py316 array_ops.gather(sv, sfc.feature_indices), sfc.feature_values),
405 if sf.feature_values is not None:
406 sparse_features_values.append(sf.feature_values)
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Dtest_data.py32 def get_quantile_based_buckets(feature_values, num_buckets): argument
34 np.array(feature_values),
/external/tensorflow/tensorflow/core/kernels/boosted_trees/
Dquantile_ops.cc174 const auto feature_values = float_features_list[index].flat<float>(); in Compute() local
178 stream.PushEntry(feature_values(j), (weight_size > 1) in Compute()
/external/tensorflow/tensorflow/core/kernels/
Dexample_parsing_ops.cc680 Tensor feature_values = FeatureSparseCopy(0, key, dtype, f); in Compute() local
681 const int64 num_elements = feature_values.NumElements(); in Compute()
687 context_sparse_values.set(d, feature_values); in Compute()