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A sequence of categorical terms where ids use a vocabulary file.
tf.contrib.feature_column.sequence_categorical_column_with_vocabulary_file(
key,
vocabulary_file,
vocabulary_size=None,
num_oov_buckets=0,
default_value=None,
dtype=tf.dtypes.string
)
Pass this to embedding_column
or indicator_column
to convert sequence
categorical data into dense representation for input to sequence NN, such as
RNN.
Example:
states = sequence_categorical_column_with_vocabulary_file(
key='states', vocabulary_file='/us/states.txt', vocabulary_size=50,
num_oov_buckets=5)
states_embedding = embedding_column(states, dimension=10)
columns = [states_embedding]
features = tf.io.parse_example(..., features=make_parse_example_spec(columns))
input_layer, sequence_length = sequence_input_layer(features, columns)
rnn_cell = tf.compat.v1.nn.rnn_cell.BasicRNNCell(hidden_size)
outputs, state = tf.compat.v1.nn.dynamic_rnn(
rnn_cell, inputs=input_layer, sequence_length=sequence_length)
Args:
key
: A unique string identifying the input feature.vocabulary_file
: The vocabulary file name.vocabulary_size
: Number of the elements in the vocabulary. This must be no greater than length ofvocabulary_file
, if less than length, later values are ignored. If None, it is set to the length ofvocabulary_file
.num_oov_buckets
: Non-negative integer, the number of out-of-vocabulary buckets. All out-of-vocabulary inputs will be assigned IDs in the range[vocabulary_size, vocabulary_size+num_oov_buckets)
based on a hash of the input value. A positivenum_oov_buckets
can not be specified withdefault_value
.default_value
: The integer ID value to return for out-of-vocabulary feature values, defaults to-1
. This can not be specified with a positivenum_oov_buckets
.dtype
: The type of features. Only string and integer types are supported.
Returns:
A _SequenceCategoricalColumn
.
Raises:
ValueError
:vocabulary_file
is missing or cannot be opened.ValueError
:vocabulary_size
is missing or < 1.ValueError
:num_oov_buckets
is a negative integer.ValueError
:num_oov_buckets
anddefault_value
are both specified.ValueError
:dtype
is neither string nor integer.