crf_log_likelihood: CRF log likelihood

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

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

Usage

crf_log_likelihood(
  inputs,
  tag_indices,
  sequence_lengths,
  transition_params = NULL
)

Arguments

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.

Value

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.

tfaddons documentation built on July 2, 2020, 2:12 a.m.