tf.contrib.crf.crf_decode
Stay organized with collections
Save and categorize content based on your preferences.
Decode the highest scoring sequence of tags in TensorFlow.
tf.contrib.crf.crf_decode(
potentials, transition_params, sequence_length
)
This is a function for 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 .
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]