Defined in `tensorflow/contrib/crf/__init__.py`

.

Linear-chain CRF layer.

See the CRF (contrib) guide.

`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.

`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_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.

`__cached__`

`__loader__`

`__spec__`

© 2018 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/api_docs/python/tf/contrib/crf