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tfa.text.viterbi_decode
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Decode the highest scoring sequence of tags outside of TensorFlow.
tfa.text.viterbi_decode(
score: tfa.types.TensorLike,
transition_params: tfa.types.TensorLike
) -> tf.Tensor
This should only be used at test time.
Args |
|---|
score
|
A [seq_len, num_tags] matrix of unary potentials.
|
transition_params
|
A [num_tags, num_tags] matrix of binary potentials.
|
Returns |
|---|
viterbi
|
A [seq_len] list of integers containing the highest scoring tag
indices.
|
viterbi_score
|
A float containing the score for the Viterbi sequence.
|
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Last updated 2023-05-25 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]
View source on GitHub