tf.contrib.crf.crf_log_likelihood

Computes the log-likelihood of tag sequences in a CRF.

tf.contrib.crf.crf_log_likelihood(
    inputs, tag_indices, sequence_lengths, transition_params=None
)

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 2020-10-01 UTC.

Args