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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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