crf_decode_forward: CRF decode forward
In tfaddons: Interface to 'TensorFlow SIG Addons'
Description
Usage
Arguments
Value
Description
Computes forward decoding in a linear-chain CRF.
Usage
1
crf_decode_forward(inputs, state, transition_params, sequence_lengths)
Arguments
inputs
A [batch_size, num_tags] matrix of unary potentials.
state
A [batch_size, num_tags] matrix containing the previous step's score values.
transition_params
A [num_tags, num_tags] matrix of binary potentials.
sequence_lengths
A [batch_size] vector of true sequence lengths.
Value
backpointers: A [batch_size, num_tags] matrix of backpointers.
new_state: A [batch_size, num_tags] matrix of new score values.
tfaddons documentation built on July 2, 2020, 2:12 a.m.
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Description Usage Arguments Value
Description
Computes forward decoding in a linear-chain CRF.
Usage
1 | crf_decode_forward(inputs, state, transition_params, sequence_lengths)
|
Arguments
inputs |
A [batch_size, num_tags] matrix of unary potentials. |
state |
A [batch_size, num_tags] matrix containing the previous step's score values. |
transition_params |
A [num_tags, num_tags] matrix of binary potentials. |
sequence_lengths |
A [batch_size] vector of true sequence lengths. |
Value
backpointers: A [batch_size, num_tags] matrix of backpointers. new_state: A [batch_size, num_tags] matrix of new score values.
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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