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Module: tfa.text.crf
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Classes
class CrfDecodeForwardRnnCell
: Computes the forward decoding in a linear-chain CRF.
Functions
crf_binary_score(...)
: Computes the binary scores of tag sequences.
crf_constrained_decode(...)
: Decode the highest scoring sequence of tags under constraints.
crf_decode(...)
: Decode the highest scoring sequence of tags.
crf_decode_backward(...)
: Computes backward decoding in a linear-chain CRF.
crf_decode_forward(...)
: Computes forward decoding in a linear-chain CRF.
crf_filtered_inputs(...)
: Constrains the inputs to filter out certain tags at each time step.
crf_forward(...)
: Computes the alpha values in a linear-chain CRF.
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.
Type Aliases
TensorLike
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Last updated 2023-05-25 UTC.
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