tf.contrib.layers.parse_feature_columns_from_sequence_examples(
serialized,
context_feature_columns,
sequence_feature_columns,
name=None,
example_name=None
)
Defined in tensorflow/contrib/layers/python/layers/feature_column_ops.py
.
Parses tf.SequenceExamples to extract tensors for given FeatureColumn
s.
Args:
serialized
: A scalar (0-D Tensor) of type string, a single serializedSequenceExample
proto.context_feature_columns
: An iterable containing the feature columns for context features. All items should be instances of classes derived from_FeatureColumn
. Can beNone
.sequence_feature_columns
: An iterable containing the feature columns for sequence features. All items should be instances of classes derived from_FeatureColumn
. Can beNone
.name
: A name for this operation (optional).example_name
: A scalar (0-D Tensor) of type string (optional), the names of the serialized proto.
Returns:
A tuple consisting of (context_features, sequence_features)
- context_features: a dict mapping
FeatureColumns
fromcontext_feature_columns
to their parsedTensors
/SparseTensor
s. - sequence_features: a dict mapping
FeatureColumns
fromsequence_feature_columns
to their parsedTensors
/SparseTensor
s.