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tfa.text.crf_log_likelihood
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Computes the log-likelihood of tag sequences in a CRF.
tfa.text.crf_log_likelihood(
inputs: tfa.types.TensorLike
,
tag_indices: tfa.types.TensorLike
,
sequence_lengths: tfa.types.TensorLike
,
transition_params: Optional[TensorLike] = None
) -> Tuple[tf.Tensor, tf.Tensor]
Args |
inputs
|
A [batch_size, max_seq_len, num_tags] tensor of unary potentials
to use as input to the CRF layer.
|
tag_indices
|
A [batch_size, max_seq_len] matrix of tag indices for which
we compute the log-likelihood.
|
sequence_lengths
|
A [batch_size] vector of true sequence lengths.
|
transition_params
|
A [num_tags, num_tags] transition matrix,
if available.
|
Returns |
log_likelihood
|
A [batch_size] Tensor containing the log-likelihood of
each example, given the sequence of tag indices.
|
transition_params
|
A [num_tags, num_tags] transition matrix. This is
either provided by the caller or created in this function.
|
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Last updated 2023-05-25 UTC.
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