tf.contrib.layers.parse_feature_columns_from_sequence_examples
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Parses tf.SequenceExamples to extract tensors for given FeatureColumns.
tf.contrib.layers.parse_feature_columns_from_sequence_examples(
serialized, context_feature_columns, sequence_feature_columns, name=None,
example_name=None
)
Args |
|---|
serialized
|
A scalar (0-D Tensor) of type string, a single serialized
SequenceExample proto.
|
context_feature_columns
|
An iterable containing the feature columns for
context features. All items should be instances of classes derived from
_FeatureColumn. Can be None.
|
sequence_feature_columns
|
An iterable containing the feature columns for
sequence features. All items should be instances of classes derived from
_FeatureColumn. Can be None.
|
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 from
context_feature_columns to their parsed Tensors/SparseTensors.
- sequence_features: a dict mapping
FeatureColumns from
sequence_feature_columns to their parsed Tensors/SparseTensors.
|
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Last updated 2020-10-01 UTC.
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