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tfa.text.crf_decode
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Decode the highest scoring sequence of tags.
tfa.text.crf_decode(
potentials: tfa.types.TensorLike,
transition_params: tfa.types.TensorLike,
sequence_length: tfa.types.TensorLike
) -> tf.Tensor
Args |
|---|
potentials
|
A [batch_size, max_seq_len, num_tags] tensor of
unary potentials.
|
transition_params
|
A [num_tags, num_tags] matrix of
binary potentials.
|
sequence_length
|
A [batch_size] vector of true sequence lengths.
|
Returns |
|---|
decode_tags
|
A [batch_size, max_seq_len] matrix, with dtype tf.int32.
Contains the highest scoring tag indices.
|
best_score
|
A [batch_size] vector, containing the score of decode_tags.
|
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Last updated 2023-05-25 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"lastModified": "Last updated 2023-05-25 UTC.",
"confidential": False
}
View source on GitHub