crf_log_norm: CRF log norm
In tfaddons: Interface to 'TensorFlow SIG Addons'
Description
Usage
Arguments
Value
Description
Computes the normalization for a CRF.
Usage
1
crf_log_norm(inputs, sequence_lengths, transition_params)
Arguments
inputs
A [batch_size, max_seq_len, num_tags] tensor of unary potentials
to use as input to the CRF layer.
sequence_lengths
A [batch_size] vector of true sequence lengths.
transition_params
A [num_tags, num_tags] transition matrix.
Value
log_norm: A [batch_size] vector of normalizers for a CRF.
tfaddons documentation built on July 2, 2020, 2:12 a.m.
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Description Usage Arguments Value
Description
Computes the normalization for a CRF.
Usage
1 | crf_log_norm(inputs, sequence_lengths, transition_params)
|
Arguments
inputs |
A [batch_size, max_seq_len, num_tags] tensor of unary potentials to use as input to the CRF layer. |
sequence_lengths |
A [batch_size] vector of true sequence lengths. |
transition_params |
A [num_tags, num_tags] transition matrix. |
Value
log_norm: A [batch_size] vector of normalizers for a CRF.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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