Module: tf.contrib.crf
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Linear-chain CRF layer.
Classes
class CrfDecodeBackwardRnnCell
: Computes backward decoding in a linear-chain CRF.
class CrfDecodeForwardRnnCell
: Computes the forward decoding in a linear-chain CRF.
class CrfForwardRnnCell
: Computes the alpha values in a linear-chain CRF.
Functions
crf_binary_score(...)
: Computes the binary scores of tag sequences.
crf_decode(...)
: Decode the highest scoring sequence of tags in TensorFlow.
crf_log_likelihood(...)
: Computes the log-likelihood of tag sequences in a CRF.
crf_log_norm(...)
: Computes the normalization for a CRF.
crf_multitag_sequence_score(...)
: Computes the unnormalized score of all tag sequences matching tag_bitmap.
crf_sequence_score(...)
: Computes the unnormalized score for a tag sequence.
crf_unary_score(...)
: Computes the unary scores of tag sequences.
viterbi_decode(...)
: Decode the highest scoring sequence of tags outside of TensorFlow.
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Last updated 2020-10-01 UTC.
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