tf.contrib.crf.crf_log_likelihood

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

Defined in tensorflow/contrib/crf/python/ops/crf.py.

See the guide: CRF (contrib)

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

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.